Related skills:
Remote ML engineer contract with micro1 (https://www.micro1.ai), an AI data company. The work is hands-on model training, evaluation, and applied ML. Python helps. English is needed for the work.

Listed rate: $80–140 per hour
Type: independent contractor, remote, flexible hours (no sponsorship)
Location: remote, only if your country is on the listing. Several LATAM countries are included (e.g. Argentina, Chile, Colombia, Mexico, Peru); confirm yours on the page before applying.

(ES) Contrato remoto de ingeniero/a de ML con micro1: entrenamiento y evaluación de modelos, ML aplicado. Tarifa publicada $80–140 USD/hora. Contratista independiente. Revisa en la página si tu país es elegible.

Apply directly and free on micro1's official portal (link above). micro1 screens candidates and decides placement.

Disclosure: I'm not micro1 staff or a recruiter. This is my personal micro1 referral link, and I may get a referral bonus if you're placed.
— Alex Westfield / Micro1 Partner
Infrastructure as CodePythonLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.

Skills

  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Machine LearningPythonCloud Platforms

What We're Looking For

Required:

  • 3+ years of hands-on Data Science or ML Engineering experience
  • Demonstrated experience building GenAI applications — RAG systems, LLM-powered pipelines, or agent frameworks in production or near-production settings
  • Strong proficiency in classical ML: regression, classification, and model evaluation
  • Proficiency in Python; experience with cloud platforms (AWS, GCP, or Azure)
  • Fluent in both English and Spanish — you'll work with US clients and collaborate across our LATAM offices.
  • Strong communication skills; comfortable presenting to non-technical stakeholders

What You'll Do


  • Design and build agentic AI systems — multi-step reasoning pipelines, tool-use agents, and orchestration frameworks (LangChain, LlamaIndex, or equivalent)
  • Develop and deploy RAG architectures over structured and unstructured data sources, including document retrieval, embedding strategies, and LLM integration
  • Build and productionize regression, classification, forecasting, and clustering models to drive measurable business outcomes
  • Evaluate and improve LLM-based systems using structured evaluation frameworks (LLM-as-a-judge, retrieval quality, hallucination detection)
  • Translate ambiguous client challenges into concrete analytical hypotheses and solution designs
  • Build scalable data pipelines for ingestion, transformation, and model serving
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Preferred:


  • Experience with computer vision (image classification, object detection, or multimodal models)
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or equivalent)
  • Consulting or client-facing experience
  • Knowledge of MLOps practices: model monitoring, versioning, CI/CD for ML

Why Join Us


  • Work on high-impact, real-world AI problems across industries from day one
  • Be part of a founding remote team with direct access to US leadership
  • Collaborative, technically rigorous culture with a strong knowledge-sharing ethos
PythonAWSBackend Development

Experience and Skills

  • Mid-level experience with 3 or more years of professional software engineering experience
  • Strong proficiency in Python development, including writing clean, maintainable, and testable code
  • Solid experience working with AWS cloud services and infrastructure
  • Exposure to LangChain and/or LangGraph is preferred

Skills

  • Python
  • AWS
  • Backend Development
  • API Development

Key Responsibilities

  • Develop, test, and deploy robust backend services and APIs using Python.
  • Manage and configure AWS cloud resources to support application deployment and scalability.
  • Collaborate with product managers and designers to translate product requirements into functional technical solutions.
  • Participate in code reviews, maintain high code quality standards, and contribute to team technical discussions.

Nice to Have

  • LangGraph
  • Artificial Intelligence
  • LLMs
  • Agentic AI

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK).
  • Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) — and working experience with one cloud platform (GCP, Azure, or AWS).
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A certification on at least one major AI platform or cloud is a strong differentiator at application. If you do not hold one yet, obtaining one within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.

Key Capabilities

A strong candidate will bring:

  • Breadth across the full stack, with depth in at least one AI platform
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: React front end, Python/Node service, RAG pipeline, and evals.

This role combines breadth and depth: taking a feature from front end to cloud deployment, plus strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You'll have direct client exposure and support junior engineers' growth.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK — ideally with experience taking at least one solution to production on GCP.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
  • Strong working experience with GCP; Azure or AWS is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
  • Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps over enterprise data, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, and evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

  • Build agents with Gemini models, Vertex AI, ADK, and Agent Engine.
  • Configure Gemini Enterprise: Agent Designer, the Inbox, and agent sandboxes.
  • Connect Gemini Enterprise to client systems via connectors, with proper permissions.
  • Build grounded apps with Vertex AI Search, RAG Engine, Search grounding, and BigQuery.
  • Implement interoperability via A2A and MCP.
  • Track Google's releases and translate new capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, and quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, and infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort with partners.
  • Mentor engineers; contribute to accelerators and engineering standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the OpenAI ecosystem: Responses API or Agents SDK, function calling, and prompt engineering for GPT and reasoning models — ideally with experience taking at least one solution to production (OpenAI API or Azure OpenAI).
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (OpenAI Agents SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform; Azure experience is a strong plus for Azure OpenAI delivery.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
Certifications are a strong differentiator at application. OpenAI's proctored certification program is still rolling out publicly, so where a formal OpenAI credential is not yet available to you, we expect you to obtain the closest available credential within your first 2 months in the role — Artefact sponsors the exam and gives you time to prepare.

  • OpenAI Academy certifications and badges, as they become generally available.
  • Microsoft Certified: Azure AI Engineer Associate is highly valued for Azure OpenAI delivery.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with realtime/voice APIs, multimodal applications, or fine-tuning at scale.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the OpenAI platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Artefact is looking for a Senior Deployed AI Engineer specialized in the OpenAI ecosystem: embedded with clients, taking AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the OpenAI Platform

  • Build agentic systems on OpenAI: Responses API, Conversations API, Agents SDK, incl. sandboxed execution for long-running tasks.
  • Build and optimize enterprise agents with AgentKit and ChatGPT Enterprise (custom GPTs, connectors, governance).
  • Apply function calling, structured outputs, model selection across GPT/reasoning families per trade-off.
  • Deliver on Azure OpenAI where required: security, networking, quota.
  • Use OpenAI's eval and fine-tuning tooling to improve quality.
  • Track OpenAI's releases and translate capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor junior engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Anthropic ecosystem: Claude API, Claude Agent SDK or Claude Code, and MCP — ideally with experience taking at least one solution to production.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform (GCP, AWS, or Azure); running Claude via Vertex AI or Amazon Bedrock is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

An Anthropic certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — as a member of our team, Artefact will sponsor your exam and give you time to prepare.

  • Claude Certified Developer – Foundations (Anthropic Certification Program), or a higher-level Claude Certified Architect credential.
  • Anthropic Academy completion certificates (Claude API, MCP, Claude Code) are valued as supporting evidence.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the Anthropic platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Our team is looking for Senior Deployed AI Engineers specialized in the Anthropic (Claude) ecosystem: embedded with clients, taking AI products from idea to production.

In this role, you'll design and build the interfaces, services, and agentic systems at the heart of our work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the Anthropic Platform

  • Build agentic systems with the Claude API and Agent SDK: tool use, extended thinking, prompt caching, citations.
  • Deploy cloud-hosted agents with Claude Managed Agents: sandboxed execution, memory, checkpointing, orchestration, tracing.
  • Build MCP servers/clients connecting Claude to enterprise systems.
  • Make Claude Code core to delivery — skills, subagents, hooks.
  • Deploy Claude via the API, Vertex AI, or Bedrock, choosing Opus/Sonnet/Haiku per trade-off.
  • Track Anthropic's releases and translate capabilities into value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Preferred Experience


Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo). Experience with Terraform or CI/CD pipelines. Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonAsynchronous ProgrammingData Modeling

Experience and Skills

  • Mid-level experience with 4+ years of professional backend engineering experience.
  • C1 English level or higher.
  • Strong proficiency in Python or a comparable modern backend language.
  • Hands-on experience designing, developing, and maintaining REST APIs and service-oriented architectures.
  • Working knowledge of asynchronous programming, concurrency, and background job processing.
  • Solid experience working with relational databases and data modeling.
  • Familiarity with message queues, worker systems, or event-driven processing.
  • Demonstrated experience writing comprehensive unit and integration tests.
  • Hands-on experience with Unit Testing, Integration Testing, OpenAI, Anthropic, LLM, AWS, Docker, PostgreSQL, Redis.

Skills

  • Python
  • REST APIs
  • Asynchronous Programming
  • Data Modeling
  • Message Queues
  • Unit Testing
  • Integration Testing
  • Solid
  • OpenAI
  • Anthropic
  • LLM
  • AWS
  • Docker
  • PostgreSQL
  • Redis

Key Responsibilities

  • Implement and maintain backend services, REST APIs, and document-processing pipelines under senior engineering guidance.
  • Build concurrent and asynchronous workflows to handle multi-page documents and long-running background tasks.
  • Integrate LLM-powered summarization, document analysis, and structured outputs into backend workflows following established patterns.
  • Develop and support background worker processes with robust error handling, retries, timeouts, and failure recovery.
  • Design and maintain data models tracking relationships between source documents, extracted data, and downstream entities.
  • Participate actively in code reviews, testing, debugging, and production troubleshooting.

Nice to Have

  • PostgreSQL
  • Redis
  • Docker
  • AWS
  • AWS ECS
  • OpenAI API
  • Anthropic API
  • OCR

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

AI AgentsDistributed SystemsSoftware Architecture

Experience and Skills

  • 5+ years of software engineering experience, with 2+ years of deep experience working with agentic workflows.
  • C1 English level or higher.
  • Proven hands-on experience designing and building multi-agent systems.
  • Strong fundamentals in distributed systems and software architecture.
  • Demonstrated track record of delivering ambitious technical work beyond basic demos and tutorials.
Skills
  • AI Agents
  • Multi-Agent Systems
  • Distributed Systems
  • Software Architecture
  • LLMs

Key Responsibilities

  • Build and optimize the core reasoning and execution layers of the autonomous agent platform.
  • Design, develop, and orchestrate complex, parallel multi-agent architectures.
  • Take full ownership of critical technical and architectural decisions in an early-stage, zero-to-one environment.
  • Collaborate directly with early customers and design partners to refine product capabilities and integrate feedback.

Nice to Have

  • Python
  • LangChain
  • LlamaIndex
  • Vector Databases

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
PythonMachine Learning

Experience and Skills

  • 6+ years of experience in software engineering, with a strong focus on shipping production-grade machine learning and AI systems.
  • C1 English level or higher.
  • Deep proficiency in Python, including advanced data structures and algorithms.
  • Hands-on experience orchestrating coding agents (such as Claude Code or Codex) within real engineering workflows.
  • Strong working knowledge of Model Context Protocol (MCP) mechanics, tool calls, and agent-to-agent (A2A) protocols.
  • Experience building and maintaining LLM evaluation pipelines, including golden datasets, LLM-as-judge frameworks, and recall/precision tracking.
  • Familiarity with open-weight model families (such as Qwen, Llama, or Mistral) and Mixture-of-Experts (MoE) architectures.
  • Experience with major model-hosting and inference platforms, including AWS Bedrock, Vertex AI, Azure OpenAI, Cerebras, or Base10.
  • Hands-on experience with Mixture of Experts, low latency.

Skills

  • Python
  • LLM
  • Model Context Protocol
  • Claude Code
  • Codex
  • Machine Learning
  • AWS Bedrock
  • Vertex AI
  • Azure OpenAI
  • Qwen
  • Llama
  • Mistral
  • Mixture of Experts
  • Claude
  • AWS
  • Azure
  • OpenAI
  • low latency

Key Responsibilities

  • Design and orchestrate multi-agent workflows, managing planning, implementation, and independent validation agents.
  • Architect MCP integrations and determine optimal modularization strategies for async, heavy-lifting workloads.
  • Establish and maintain spec-driven (SDD) and eval-driven (EDD) development workflows, including written constraint files to prevent agent drift.
  • Build robust LLM evaluation pipelines using LLM-as-judge setups, confusion matrices, and recall/precision tracking.
  • Evaluate, fine-tune, and deploy open-weight models across various hosting and inference providers.
  • Contribute to large-scale document intelligence pipelines, focusing on OCR, classification, and named entity recognition (NER).
  • Collaborate with technical leadership to translate complex regulatory and business logic into reliable agent workflows.

Nice to Have

  • OCR
  • OpenCV
  • AWS Textract
  • Amazon SageMaker
  • Spanish
  • Portuguese
  • Japanese

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonMachine LearningSQL

Experience and Skills

  • 6+ years of professional experience in AI/ML Engineering, Data Engineering, Data Science, or a closely related field.
  • C1 English level or higher.
  • Hands-on experience building or integrating LLM applications, particularly RAG and/or MCP.
  • Strong hands-on experience with AWS and cloud-based data architectures
  • Experience with traditional machine learning and predictive modeling.
  • Advanced SQL skills and experience working with relational databases.
  • Experience working with PII, sensitive, or regulated data and implementing appropriate data protection practices.
  • Strong understanding of how data is generated, collected, transformed, stored, and consumed within business environments.
  • Proven experience designing and implementing end-to-end data pipelines.
Skills
  • Python
  • R
  • SQL
  • Machine Learning
  • Time Series Forecasting
  • GCP
  • Azure
  • AWS
  • MLOps
  • Statistics
  • Data Pipelines

Key Responsibilities

  • Business & Data Discovery: Partner with business and technical stakeholders to understand processes, KPIs, data sources, and translate business needs into technical solutions.
  • AI & LLM: Build and integrate AI solutions using LLMs, RAG, MCP, and internal enterprise data.
  • Machine Learning & Analytics: Develop and support predictive models, forecasting, and other ML use cases as the data platform evolves.
  • Data Governance & Communication: Ensure data quality, security, and compliance while communicating insights and technical concepts clearly to non-technical stakeholders.

Nice to Have

  • Power BI
  • GIS
  • Geospatial Analytics
  • Survival Analysis
  • Customer Segmentation

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
PostgreSQLSupabaseJavaScript

Qualifications and requirements

  • 3+ years building full-stack web applications
  • Solid SQL and PostgreSQL; hands-on experience with Supabase (auth, RLS, edge functions) or an equivalent BaaS
  • Strong with REST APIs, JSON, HTTP, and webhooks — you read API docs and integrate without hand-holding
  • JavaScript/TypeScript proficiency (Node.js); Python is a plus
  • Comfortable with formal/boolean logic and state management — the same thinking that makes an AI agent behave correctly
  • Advanced English (C1+), spoken and written — you will read subtle US customer requirements and review recorded calls daily
  • Meticulous, autonomous, and communicative in a remote team
  • Located in Colombia and available during US Central business hours

Job functions

  • Build and maintain the platform behind our AI voice agents: Supabase/PostgreSQL backend, REST APIs, and webhooks
  • Design and ship automations in Pipedream that connect agents to customer scheduling tools, CRMs, and email/SMS
  • Configure and tune AI voice agents for new customers: prompts, conversation logic, escalation rules, edge cases
  • Convert customer intake notes and real call recordings into correct agent behavior
  • Analyze call transcripts and system logs, find failures, and fix them at the root
  • Contribute to low-code/BPM work on the Appian platform for enterprise consulting projects
  • Maintain reusable configuration templates and technical documentation by industry
  • Join English-language onboarding and technical calls with US customers

Desirable skills

  • Pipedream, n8n, Make, or Zapier workflow automation
  • Appian or another low-code / BPM platform (Power Platform, OutSystems, Mendix)
  • LLM prompt engineering, voice AI, or chatbot platforms
  • Twilio, Telnyx, LiveKit, or other telephony/voice APIs
  • Cloudflare, Stripe, SendGrid
  • Experience with dental, legal, or home-services customers

Benefits

  • 3,000 USD salary paid monthly, with a compensation review at 6 months
  • Full-time Colombian employment contract through an Employer of Record — statutory benefits included, not a contractor arrangement
  • 100% remote, long-term position
  • Direct work with the founder; your code and configurations ship to paying customers within days
  • Hands-on experience across production voice AI, Supabase, workflow automation, and enterprise low-code
PythonAI AgentsLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.
Skills
  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
SQL ServerPostgreSQLOracle

Requerimientos del cargo

  • 5+ years as a DBA or Database Engineer, with strong SQL Server production experience.
  • Hands-on experience building LLM or agent-based automation, beyond using ChatGPT (e.g. agents with custom tools, RAG or MCP integrations).
  • Cloud databases on AWS and/or Azure.
  • Strong Python/scripting skills.
  • Solid performance troubleshooting on live systems: you check blocking and active sessions first, then execution plans, then what changed.
  • C1 English.

Funciones del cargo

  • Operate and optimize SQL Server, PostgreSQL, Oracle and Azure SQL environments on AWS and Azure: performance troubleshooting, backups, HA/DR, Always On and replication.
  • Run daily database work through AI tools and MCP connections from the command line, replacing manual processes.
  • Design, build and deploy autonomous Python agents that automate DBA workflows end-to-end, with built-in safety controls and human oversight.
  • Respond to incidents and support migrations.

Opcionales

  • PostgreSQL or Oracle on RDS, Azure SQL DB, MongoDB.
  • Data engineering background (streaming, high-volume ingestion, Airflow).

Condiciones

  • Fully remote, with flexibility to work from anywhere in South America, Central America or Mexico.
  • Full-time, long-term contract through Niuro.
  • One dedicated client team, with a real, funded path into agentic AI engineering.
Retrieval-Augmented GenerationLarge Language ModelsPrompt Engineering

Requerimientos del cargo

  • 4+ years in AI/ML-focused roles delivering software products to production.
  • Hands-on experience with LLMs (OpenAI, Claude, Mistral or open-source alternatives).
  • Experience with AI agent frameworks and/or agentic architectures.
  • Strong knowledge of prompt engineering, embeddings and vector databases.
  • Experience designing and implementing RAG architectures.
  • Experience testing and evaluating AI systems and LLM-powered applications.
  • Strong Python skills and experience building APIs with FastAPI, Django or similar frameworks.
  • Production experience with at least one major cloud platform (AWS, GCP or Azure).
  • Experience with Docker, Kubernetes and Terraform.
  • Solid software engineering fundamentals: testing, code reviews, Git, modular design and maintainable code.
  • Experience deploying, monitoring and maintaining AI systems in production.
  • Hands-on experience with LangChain and Transformers.
  • Ability to work autonomously and communicate effectively with both technical and non-technical stakeholders.
  • Professional English.

Funciones del cargo

You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems, AI agents, copilots and other generative AI applications. You'll fine-tune, evaluate and deploy both proprietary and open-source foundation models, and build scalable APIs and services that integrate AI into applications. You'll own the full lifecycle of AI features, from experimentation and prototyping through deployment and monitoring. You'll work with DevOps on CI/CD and infrastructure as code, and implement observability, error tracking and performance monitoring for AI systems. You'll also contribute to AI architecture discussions, share knowledge and mentor other engineers, and look for new opportunities to bring AI into products. Success means going beyond prototypes: reliable, observable AI features running in production and delivering real business value.

Opcionales

  • MLOps practices and model deployment workflows.
  • AI evaluation and testing tools such as Promptfoo, Giskard or similar.
  • Experience with multi-agent systems.
  • Experience identifying and implementing AI use cases within digital products.

Condiciones

  • 00% remote position for candidates based in Latin America (Brazil, Argentina, Uruguay and Colombia preferred).
  • Full-time, direct hire with the client company.
  • Flexible working schedule.
  • Continuous learning and professional development opportunities.
  • Access to modern AI technologies and development tools.
  • Collaboration with experienced professionals across different technical disciplines.
  • Challenging AI projects and production-grade solutions.
  • Selection process: HR Interview → Technical Challenge → Technical Interview → Offer.
PythonSQLDatabricks

Description

We’re looking for a senior-minded Nearshore engineer who can turn SAS-based logic into robust, governed Databricks pipelines using Python, SQL, and modern CI/CD practices—while maintaining strict delivery discipline.

Required experience

  • 4+ years of professional data or software engineering experience.
  • Strong Python and SQL skills.
  • Hands-on Databricks experience with Unity Catalog, Workflows, and Databricks Asset Bundles.
  • Proficiency with GitLab CI/CD (pipelines, merge request workflows, and automated testing) and disciplined Git branching and code reviews.
  • Clear written and spoken English for client-facing collaboration.
  • Demonstrated ownership: scoping work, delivering outcomes, and proactively flagging risks without being prompted.

Focus areas

  • Pipeline reliability, validation, and delivery of converted code.
  • Parity checks between SAS and Databricks outputs.
  • Deployment and governance using DABs + GitLab CI/CD + Unity Catalog.

Additional experience

  • Spark and Delta Lake performance tuning.
  • Data validation and reconciliation experience.
  • Infrastructure-as-code or DAB-based deployment experience.
  • SAS reading ability and exposure to healthcare data (plus experience with Azure) are valued.

How we work: We value clarity, accountability, and continuous improvement. We’ll expect you to communicate trade-offs, confirm assumptions early, and build trust through predictable delivery, thoughtful reviews, and transparent risk management.

Functions

We’ll rely on you to drive the end-to-end conversion delivery from SAS inventories to validated Python/SQL outputs on Databricks, with a strong focus on pipeline reliability and data validation.

  • Pipeline engineering: Build and run pipelines that process SAS inventories and produce converted outputs.
  • Quality and parity validation: Validate converted code for parity against SAS outputs (e.g., row counts, checksums, schema, and data types).
  • Deployment ownership: Own deployments through Databricks Asset Bundles (DABs) and GitLab CI/CD, ensuring repeatable releases.
  • Databricks governance: Manage Unity Catalog objects, permissions, and promotion across environments.
  • Operational excellence: Troubleshoot job failures and performance issues, and take preventive actions to improve pipeline stability.
  • Performance tuning: Apply tuning techniques for Apache Spark and Delta Lake to meet reliability and execution-time expectations.
  • Data reconciliation: Use data validation and reconciliation practices to ensure correctness and consistency.
  • Infrastructure-as-code mindset: Implement DAB-based deployment patterns and support automated, testable delivery workflows.
  • Client collaboration: Communicate progress, risks, and technical decisions clearly with client and partner stakeholders.

Desirable


  • Experience converting SAS workflows to Python/SQL in production environments.
  • Healthcare data exposure and familiarity with typical data quality and privacy expectations.
  • Azure exposure and understanding of how cloud services fit into end-to-end delivery and operations.
  • Deep experience optimizing Spark jobs (partitioning, caching strategies, skew handling) and Delta Lake (file sizing, compaction patterns).

Benefits


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
JavaScriptTypeScriptReact

Requerimientos del cargo

  • Experiencia real desarrollando producto full stack, frontend y backend.
  • Método para trabajar con IA de forma eficiente: saber dar buen contexto, iterar con criterio y no quemar recursos a base de prueba y error. Buscamos a alguien que piense antes de pedir a la IA que desarrolle, no que dispare peticiones a ciegas.
  • Entender el sistema a fondo, no tratar la IA como una caja negra. Hay que comprender cómo encajan las piezas de un proyecto y cómo se conectan entre sí, para que, cuando aparezca un error, sepas dónde mirar y por qué — y no dependas de que la IA lo adivine por ti.
  • Soltura con JavaScript/TypeScript (idealmente Next.js/React) y bases de datos SQL.
  • APIs REST, webhooks e integraciones con sistemas de terceros.
  • Saber integrar IA en el producto cuando el proyecto lo pide: consumir APIs de modelos de lenguaje, salidas estructuradas y function calling, con criterio para revisar lo que generan.
  • Autonomía para coger una solución ya diseñada y llevarla a producción tú solo.
  • Git y buenas prácticas de código.
  • Disponibilidad para solapar varias horas al día (80%) con el horario de España (CET), para coordinarnos.

Funciones del cargo

Trabajarás mano a mano con el fundador técnico. El proyecto llega ya auditado, diseñado y cerrado con el cliente; a partir de ahí, lo construyes tú. Cada cliente es distinto: lo mismo montas un CRM complejo, que un SaaS, que un chatbot con IA, que las tres cosas conectadas entre sí con agentes.

En el día a día:

  • Construyes en Cursor las soluciones ya diseñadas: las montas, las iteras y las dejas listas en producción.
  • Integras las piezas que pida cada proyecto: bases de datos, autenticación, ERPs, pasarelas de pago, mensajería y las APIs externas que hagan falta. El stack cambia según el cliente.
  • Cuando el proyecto lo pide, añades capa de IA: chatbots, asistentes y agentes que conectan con las herramientas del cliente y automatizan procesos de varios pasos.
  • Revisas el código que genera la IA antes de darlo por bueno: que haga lo que debe, que esté limpio, que no deje agujeros, y cazas y corriges los bugs.
  • Cuidas la seguridad y la protección de datos de lo que construyes, según lo que requiera cada proyecto.
  • Pruebas los flujos, los dejas funcionando en el cliente y los pules hasta que queden finos.

Opcionales


  • Experiencia construyendo agentes de IA o sistemas multi-agente.
  • Bases de datos vectoriales y RAG.
  • Python para piezas de IA o automatización.
  • Experiencia con bases de datos y backend como servicio (tipo Supabase/Firebase).
  • Integraciones con ERP o software de facturación, y con e-commerce.
  • Automatizaciones y conexión de herramientas (webhooks, APIs, flujos entre sistemas).
  • Nociones de protección de datos (RGPD) y seguridad aplicada.
  • Experiencia en entornos multi-tenant (un mismo sistema para varios clientes).
  • Bots y mensajería (WhatsApp, Telegram y similares).
  • Haber trabajado con clientes B2B o en proyectos a medida.

Condiciones


  • 100% remoto, desde cualquier país de LATAM.
  • Pago en USD, mensual y puntual, gestionado a través de una plataforma de pagos internacional (contrato y facturación incluidos).
  • Relación como contractor: facturas por tus servicios, con total transparencia.
  • Horario flexible dentro del solape con España.
  • Proyectos variados y reales: cada cliente es un problema distinto: un CRM, un SaaS, un sistema de predicción de stock, un chatbot con IA… no te vas a aburrir montando lo mismo.
  • Recorrido real según lo que demuestres: entras como primera incorporación técnica, trabajando mano a mano con el fundador técnico. Si destacas, ampliamos tu rol y tu responsabilidad — con la subida de sueldo que lo acompaña.
  • Trabajo con IA de forma nativa: usamos las mejores herramientas del mercado, no vas a pelearte con procesos anticuados.
.NetNode.jsSQL

🔍 Requisitos

Buscamos un/a Desarrollador/a Fullstack con experiencia sólida en el desarrollo de frontend y backend. En este proyecto de digitalización, serás responsable de construir y mantener componentes web y PWA, además de colaborar en el desarrollo de APIs y su integración con servicios. Debes contar con conocimientos en arquitecturas modernas y APIs REST, y manejar control de versiones con GitLab y/o GitHub.

Valoramos también la capacidad de trabajar de forma colaborativa en equipos ágiles, el enfoque en la entrega y la responsabilidad sobre la calidad del software.

🚀 Principales responsabilidades

  • Desarrollo de interfaces web y apps móviles (PWA) con Angular y/o Ionic
  • Implementación de UI con HTML5, CSS3, JavaScript y Bootstrap
  • Desarrollo y mantenimiento de APIs con NodeJS y NestJS
  • Trabajo con contenedores (Docker, Kubernetes)
  • Integración y desarrollo en tecnologías como .NET, C# o Python según necesidad
  • Gestión de bases de datos SQL (SQL Server, Oracle) y NoSQL (MongoDB, Redis, etc.)
  • Despliegue y operación en Google Cloud Platform (GCP)
  • Uso de herramientas de IA como apoyo al desarrollo

✨ Deseable

  • Experiencia usando contenedores y orquestación con Docker y Kubernetes
  • Experiencia con despliegue y operación en Google Cloud Platform (GCP)
  • Conocimiento adicional en bases de datos SQL/NoSQL (por ejemplo, SQL Server, Oracle, MongoDB, Redis)
  • Experiencia integrando soluciones con tecnologías .NET, C# o Python
  • Uso de herramientas de IA como apoyo al desarrollo

🤝 Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

PythonGitSQL

Los requisitos del cargo son:

  • Conocimientos demostrables en analítica avanzada, sean por estudios o experiencia laboral.
  • Manejo de Python, SQL y Git.
  • Conocimiento de bases de datos relacionales
  • Conocimiento de:
    • Procesamiento de datos (ETL)
    • Machine Learning
    • Feature engineering, reducción de dimensiones
    • Estadística y analítica avanzada

Tus responsabilidades serán:

  • Recolectar, limpiar y organizar grandes volúmenes de datos provenientes de diversas fuentes, como bases de datos, archivos planos, APIs, entre otros. Aplicando técnicas de análisis exploratorio para identificar patrones y resumir las características principales de los datos, así como para entender el problema del cliente.
  • Desarrollar modelos predictivos utilizando técnicas avanzadas de aprendizaje automático y estadística para predecir tendencias, identificar patrones y realizar pronósticos precisos
  • Optimizar algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad, ajustando parámetros y explorando nuevas técnicas
  • Crear visualizaciones claras y significativas para comunicar los hallazgos y resultados al cliente, de manera efectiva
  • Comunicar los resultados efectivamente, contando una historia para facilitar la comprensión de los hallazgos y la toma de decisiones por parte del cliente
  • Diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguaje de programación como Python, R o SQL
  • Trabajo colaborativo: colaborar con equipos multidisciplinarios para abordar problemas complejos y proporcionar soluciones integrales al cliente, además de participar en proyectos de diversa complejidad, asegurando la calidad de los entregables y el cumplimiento de los plazos establecidos.
  • Investigar y mantenerse actualizado en análisis de datos, inteligencia artificial y metodologías para mejorar las capacidades analíticas, adquiriendo rápidamente conocimientos sobre diversas industrias y herramientas específicas

Algunos deseables no excluyentes:

Experiencia con:

  • Herramientas de BI (Power BI o Tableau)
  • Servicios cloud (Azure, AWS, GCP)
  • Conocimiento de bases de datos no relacionales (ej: Mongo DB)
  • Conocimiento en optimización

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonData AnalysisSQL

Los requisitos del cargo son:

  • Formación en Ingeniería Civil Industrial/Matemática/Computación, o carrera afín
  • 1 a 2 años de experiencia laboral en:
    • Proyectos BI
    • Herramientas de visualización como PowerBI, Tableau, QikView u otros
    • Soluciones de BI en entornos cloud (ejemplo, Azure y Power BI Service)
    • Fuentes de datos (SQL Server, MySQL, API, Data Lake, etc.)
    • Desarrollo de queries en SQL
    • Desarrollo de modelos de datos para usos analíticos y programación de ETLs
  • Inglés profesional

Tus responsabilidades serán:

  • Recolectar y analizar datos de diversas fuentes para identificar patrones y tendencias. Extraer insights significativos para comprender el rendimiento presente y futuro del negocio.
  • Crear modelos de datos adaptados a distintos proyectos y sectores.
  • Crear y optimizar informes, paneles y cuadros de mando para una presentación efectiva de la información, utilizando herramientas de BI como Tableau, Power BI o QlikView.
  • Identificar oportunidades de mejora de procesos mediante análisis de datos.
  • Mantener y actualizar bases de datos para garantizar su integridad y calidad.
  • Brindar formación y soporte al equipo en el uso de herramientas de Business Intelligence. Colaborar con equipos diversos para crear soluciones integrales. Entender las necesidades del cliente y proponer mejoras y soluciones proactivas.
  • Monitorear modelos de data science y machine learning. Mantener la calidad de datos en flujos de información. Gestionar la seguridad y la escalabilidad de entornos cloud de BI.

Algunos deseables no excluyentes:

  • Conocimiento de Python o R
  • Manejo de Big Data en miras de establecer reportería

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonData ScienceEnglish

Los requisitos del cargo son:

  • Titulación en Ingeniería Civil Industrial, Ingeniería Industrial, Economía o áreas afines.
  • Experiencia laboral mínima de 4 a 6 años en consultoría o roles relacionados.
  • Dominio avanzado de herramientas de Office y/o Google.
  • Pensamiento Analítico: Capacidad para analizar datos y extraer información significativa que respalde la toma de decisiones.
  • Conocimiento profundo de diversas herramientas y soluciones digitales.
  • Inglés fluido para comunicarse oralmente con los clientes.

Tus responsabilidades serán:

  • Realizar investigaciones exhaustivas y análisis de información relevante para el proyecto.
  • Desarrollar diagnósticos y proponer soluciones adaptadas a las necesidades específicas de cada cliente, utilizando un enfoque analítico y estratégico.
  • Crear entregables innovadores y orientados a resultados, con un enfoque en la transformación digital.
  • Aplicar rápidamente el aprendizaje adquirido de diversas industrias y herramientas para abordar los desafíos de cada cliente.
  • Presentar de manera efectiva los hallazgos y resultados del proyecto, adaptándose a las necesidades de los stakeholders del cliente.
  • Contribuir a la elaboración de propuestas para potenciales clientes, mediante un análisis detallado de la industria y la identificación de soluciones adecuadas.
  • Construir y mantener relaciones sólidas con los clientes, actuando como un socio estratégico en su camino hacia el éxito.
  • Apoyar al equipo en la planificación estratégica y en la transferencia de conocimientos y mejores prácticas.

Algunos deseables no excluyentes:

  • Deseable experiencia en programación en Python y uso de herramientas de visualización como PowerBI o Tableau.
  • Conocimiento o nociones de Data Science.

Algunos de nuestros beneficios:

  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros.
  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

PythonSQLMachine Learning

Los requisitos del cargo son:

  • Formación en Ingeniería Civil Industrial/Matemática/Computación, Física, Estadística, carreras afines, o experiencia equivalente en análisis avanzado de datos.
  • Experiencia laboral de al menos 4 años en roles de análisis de datos, preferiblemente en industrias relevantes.
  • Experto en Python, SQL y Git, con habilidades demostradas en el desarrollo de modelos analíticos y aplicaciones.
  • Amplio conocimiento de bases de datos relacionales y no relacionales, así como experiencia en procesamiento de datos (ETL).
  • Profundo conocimiento en machine learning, feature engineering, reducción de dimensiones, estadística avanzada y optimización.
  • Inglés avanzado.

Tus responsabilidades serán:

  • Análisis de Datos: Aplicar técnicas avanzadas de análisis exploratorio para comprender la estructura y características de grandes volúmenes datos, provenientes de diversas fuentes.
  • Desarrollo de Modelos Predictivos Avanzados: utilizar técnicas avanzadas de aprendizaje automático y estadística para desarrollar modelos predictivos robustos que permitan predecir tendencias, identificar patrones y realizar pronósticos precisos.
  • Optimización de Algoritmos y Modelos: dirigir la optimización de algoritmos y modelos existentes para mejorar la precisión, eficiencia y escalabilidad.
  • Visualización y Comunicación de Datos: crear visualizaciones claras y significativas para comunicar los hallazgos y resultados de manera efectiva al cliente y a otros stakeholders clave.
  • Desarrollo de Herramientas Analíticas: diseñar y desarrollar herramientas analíticas personalizadas y sistemas de soporte para la toma de decisiones basadas en datos, utilizando lenguajes de programación como Python, R o SQL.
  • Gestión de Proyectos: liderar frentes de un proyecto relacionados al análisis de datos complejos, desde la conceptualización hasta la implementación, planificando estratégicamente los hitos y entregables acordados con los clientes.
  • Investigación y Desarrollo Continuo: mantenerse actualizado en las últimas tendencias y avances en análisis de datos, inteligencia artificial y metodologías relacionadas. Compartir conocimientos y experiencias con el equipo para fomentar un ambiente de aprendizaje continuo.
  • Contribución a Propuestas y Desarrollo de Negocios: colaborar en el desarrollo de propuestas internas para potenciales clientes, utilizando su experiencia y conocimientos para identificar oportunidades y diseñar soluciones innovadoras.
  • Apoyar al equipo desde un rol de mentor, traspasando conocimientos y buenas prácticas, proporcionándole capacitación personalizada según las necesidades individuales de los miembros.

Condiciones

  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Días de vacaciones adicionales a lo legal y medio día libre de cumpleaños. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por desempeño de la empresa, además de bonos por trabajador referido y por cliente.
  • Almuerzos quincenales pagados con el equipo (Chile) o Tarjeta de Alimentación (México).
  • Cobertura de salud adicional (Mexico).
  • Computadora de altos specs para trabajar cómodamente.
  • Flexibilidad horaria y trabajo por objetivos.
  • Posibilidad de participar en proyectos a nivel global, con intercambios con otros países con presencia del grupo.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Ciudad de México).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

Data governanceTeam ManagementData Architecture

Los requisitos del cargo son:

  • Experiencia mínima de 3 años en el uso de herramientas de gestión de datos.
  • Experiencia previa en la gestión estratégica de equipos multidisciplinarios.
  • Conocimientos avanzados de Python o Pyspark y experiencia en su aplicación en proyectos de datos.
  • Experiencia en el diseño e implementación data warehouse, data lakes y data lake house
  • Desarrollo de soluciones de disponibilización de datos.
  • Experiencia práctica con al menos uno de los principales almacenes de archivos en la nube.
  • Buen manejo del inglés.

Tus responsabilidades serán:

  • Diseñar arquitecturas de datos que cumplan con los requisitos de los clientes y se alineen con su estrategia empresarial, asegurando la adherencia a los principios de gobernanza de datos.
  • Diseñar, implementar, mantener y actualizar estructuras de almacenamiento de datos transaccionales y analíticas, garantizando la integridad y disponibilidad de los datos.
  • Extraer datos de diversas fuentes y transferirlos eficientemente a entornos de almacenamiento de datos.
  • Diseñar e implementar procesos que soporten grandes volúmenes de datos en entornos de Big Data, utilizando herramientas y tecnologías pertinentes en cada proyecto.
  • Comunicar hallazgos, resultados y diagnósticos efectivamente, contando una historia para facilitar la comprensión de los hallazgos y la toma de decisiones por parte del cliente
  • Colaborar con equipos multidisciplinarios en la gestión estratégica de proyectos, asegurando la entrega oportuna y exitosa de soluciones de datos.
  • Desarrollar y mantener soluciones en la nube y on premise.
  • Utilizar metodologías ágiles para el desarrollo y entrega de soluciones de datos, adaptándose rápidamente a los cambios y requisitos del proyecto.
  • Apoyar al equipo traspasando conocimientos y buenas prácticas, apoyando en la capacitación y aprendizaje continuo según las necesidades individuales de los miembros
  • Gestionar al equipo mediante una planificación estratégica del proyecto, asegurando una distribución eficiente de tareas y una comunicación clara de los objetivos.

Algunos deseables no excluyentes:

  • Experiencia en consultoría y/ proyectos de estrategia o transformación digital
  • Experiencia con servicios de procesamiento y almacenamiento de datos de AWS o GCP, Azure
  • Certificaciones

Algunos de nuestros beneficios:

  • Rápido crecimiento profesional: Un plan de mentoring para formación y avance de carrera, ciclos de evaluación de aumentos y promociones cada 6 meses.
  • Hasta 11 días de vacaciones adicionales a lo legal. Esto para descansar y poder generar un sano equilibrio entre vida laboral y personal.
  • Participación en el bono por utilidades de la empresa, además de bonos por trabajador referido y por cliente.
  • Medio día libre de cumpleaños, además de un regalito.
  • Almuerzos quincenales pagados con el equipo en nuestros hubs (Santiago, Bogotá, Lima y Ciudad de Mexico).
  • Presupuesto de 500 USD al año para capacitaciones, sean cursos, membresías, eventos u otros (Chile).
  • Flexibilidad horaria y trabajo por objetivos.
  • Trabajo remoto, con posibilidad de hacerse híbrido (Oficina en Santiago de Chile, Cowork pagado en Bogotá, Lima y Ciudad de Mexico).
  • Post Natal extendido para hombres, y cobertura de diferencia pagado por sistema de salud para mujeres (Chile)

...y más!

SQLPythonData Warehousing

Requerimientos del cargo

  • Experiencia con SQL (consultas complejas, transformaciones, modelado)
  • Conocimiento de Python para procesamiento y automatización de datos
  • Familiaridad con conceptos de data warehousing o arquitecturas de datos en capas
  • Capacidad de trabajar de forma autónoma en entorno remoto
  • Interés genuino en el sector energético o en datos regulatorios

Funciones del cargo

  • Desarrollar y mantener scrapers para fuentes regulatorias del mercado eléctrico (Coordinador, CEN, CNE, SEA)
  • Automatizar la ingesta de datos desde portales públicos y APIs regulatorias
  • Normalizar y cargar datos extraídos hacia la capa de almacenamiento en AWS
  • Apoyar el mantenimiento de modelos de datos en capas Silver/Gold
  • Documentar pipelines, fuentes y lógica de extracción
  • Colaborar con el Analytics Engineer senior en el diseño y evolución de la arquitectura

Opcionales

  • Experiencia con AWS (S3, Glue, Athena)
  • Conocimiento del mercado eléctrico chileno (MCDP, licitaciones, tarifas)
  • Experiencia con dbt o herramientas similares de transformación
  • Familiaridad con herramientas de visualización (Metabase, Power BI, Looker)

Condiciones

  • 100% Remoto, Residencia en Chile o disponiblidad para viajar a Santiago de Chile una vez al mes.
  • Sueldo de mercado
  • Equity (sujeto a condiciones)
PythonRSQL

Experience and Skills

  • 8+ years of experience in risk management, underwriting, or credit analytics within fintech, lending, or specialty finance environments
  • C1 English level or higher
  • Proven track record building AI/ML-driven credit models, risk scorecards, and pricing frameworks
  • Strong proficiency with Python, R, SQL, and Excel
  • Deep expertise in risk-adjusted pricing, portfolio management, loss forecasting, and modeling techniques (regression, ML, ensemble methods, decision trees, neural networks)
  • Experience managing and mentoring small, high-impact data or risk teams
  • Solid understanding of cash-flow and alternative-data underwriting

Skills

  • Python
  • R
  • SQL
  • Machine Learning
  • Credit Scoring
  • Risk Management
  • Predictive Modeling
  • Underwriting
  • Portfolio Management
  • Loss Forecasting

Key Responsibilities

  • Design, build, and maintain risk scorecards, credit underwriting models, and offer calculation engines using advanced AI/ML techniques
  • Establish and lead the end-to-end risk management framework, including credit, operational, and portfolio risk strategies
  • Develop and optimize risk-adjusted return strategies, loss forecasting, pricing optimization, and portfolio performance analysis
  • Leverage alternative data sources, such as bank, cash flow, behavioral, and third-party data, to improve underwriting accuracy
  • Partner with Product, Data, Engineering, and Finance teams to integrate ML models into fully automated decisioning workflows
  • Build early-warning systems and real-time monitoring tools using machine learning to detect anomalies, fraud, and emerging risk patterns
  • Lead, mentor, and review the work of a small team of data scientists while remaining directly involved in technical execution
  • Deliver clear, data-driven reporting to internal stakeholders, board members, and capital partners while ensuring regulatory compliance

Nice to Have

  • MLOps
  • Model Deployment
  • Alternative Data
  • Automated Decisioning

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonSQLBig Data

Experience and Skills

  • 5+ years of dedicated data engineering experience, demonstrating senior-level autonomy and technical ownership
  • C1 English level or higher, with excellent verbal and written communication skills
  • Expert-level Python programming and advanced SQL query optimization skills
  • Hands-on experience with streaming systems such as Kafka, AWS MSK, or AWS Kinesis
  • Proven track record of pipeline development using Apache Spark or native Python frameworks
  • Technical experience managing Apache Iceberg or Delta Lake table formats on AWS S3
  • Direct experience productionalizing workflows with Apache Airflow, Dagster, or AWS Step Functions
  • Deep familiarity with AWS data services including S3, AWS Glue, Athena, and EMR
  • Specialized experience in time-series, IoT, SCADA, or industrial sensor data modeling techniques
  • Background in building data quality assurance, schema validation, and monitoring systems
  • Ability to maintain core working hours aligned with the US Central Time (CT) zone

Skills

  • Python
  • SQL
  • Apache Spark
  • Kafka
  • AWS MSK
  • AWS Kinesis
  • Apache Iceberg
  • Delta Lake
  • AWS S3
  • Apache Airflow
  • Dagster
  • AWS Step Functions
  • AWS Glue
  • Athena
  • EMR
  • IoT Data Modeling
  • Time-series Data

Key Responsibilities

  • Design, build, and maintain scalable ETL and ELT pipelines using Spark and Python.
  • Build real-time data ingestion streams to capture continuous sensor and time-series data.
  • Implement and optimize lakehouse table formats to ensure fast query performance.
  • Manage and schedule complex data workflows using orchestration tools to guarantee timely data delivery.
  • Implement automated data quality checks, schema validation, and monitoring frameworks.

Nice to Have

  • dbt

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Data EngineeringPythonSQL

Experience and Skills

  • 5+ years of experience designing and operating production data pipelines at scale, ideally within fintech or lending environments
  • Proven ability to quickly understand a business domain and how its data is generated, and translate that into architecture decisions
  • Demonstrated experience inheriting legacy data structures and remediating them end-to-end — data cleanup, deduplication, and quality frameworks
  • Strong proficiency in Google Cloud (BigQuery) and working knowledge of Azure (Data Factory, ADLS)
  • Production-level Python and strong SQL fluency, including BigQuery-specific optimization patterns like partitioning, clustering, and cost control
  • Experience implementing medallion architecture with explicit schema contracts and lineage between layers
  • Experience mentoring engineers or leading small teams is a plus
  • Hands-on by default — you build, not just direct
  • Fluent spoken Spanish

Skills

  • Data Engineering
  • Python
  • SQL
  • Google Cloud
  • BigQuery
  • Azure
  • Azure Data Factory
  • ADLS
  • Medallion Architecture
  • Data Governance

Key Responsibilities

  • Own the end-to-end data platform: architecture, pipelines, quality, and governance.
  • Develop a deep understanding of the business and how its data is generated, and translate that into architecture and design decisions.
  • Drive the remediation and optimization of existing data assets, ensuring quality, consistency, and reliability across core datasets.
  • Design, build, and operate reliable data pipelines between SQL Server, BigQuery, and third-party integrations.
  • Define and implement the target data architecture, including layered modeling (medallion), data cataloging, and lineage.
  • Establish governance practices across the platform — auditability, access, and cost efficiency across BigQuery and Azure.
  • Partner with cross-functional stakeholders (Underwriting, Collections, Product) to align data capabilities with business needs.
  • Shape the long-term cloud and data strategy, and mentor engineers as the team grows.

Nice to Have

  • Databricks
  • Unity Catalog
  • Apache Airflow
  • Dagster
  • GitHub Actions

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonMachine LearningDeep Learning

Conocimientos técnicos

  • Python, Jupyter
  • Autoencoder
  • Experiencia desarrollando sistemas de Machine Learning / Deep Learning
  • Experiencia trabajando con embeddings vectoriales para imágenes y/o texto
  • Manejo de modelos de visión computacional y multimodales
  • Similarity search y bases de datos / vector stores
  • Algoritmos de similitud: cosine similarity, Euclidean distance, dot product, etc.
  • CLIP, OpenCLIP, SigLIP u otros modelos de embeddings de imágenes
  • OpenSearch Vector Search
  • Embeddings de texto
  • LLMs para comparar títulos y descripciones
  • Técnicas de semantic similarity
  • Prompt engineering
  • Structured outputs / JSON
  • Modelos de reranking o cross-encoders
  • AWS

Deseables

  • Redis
  • DynamoDB

Buscamos una persona con experiencia desarrollando soluciones de Machine Learning y Deep Learning, que disfrute trabajar con datos y resolver problemas complejos. También buscamos experiencia experimentando y evaluando modelos, construyendo y validando datasets, trabajando con fine-tuning o adaptación de modelos preentrenados y desarrollando pipelines de Machine Learning para entrenamiento e inferencia. Será importante que tengas experiencia diseñando experimentos reproducibles y evaluando el desempeño de modelos mediante métricas como precision, recall y F1.

StreamingPythonSQL

REQUIRED SKILLS & EXPERIENCE

  • Minimum of 5 years of experience as a Data Engineer or in a similar role.
  • Strong hands-on experience with Databricks and Apache Spark.
  • Advanced SQL and Python skills.
  • Experience working in cloud environments (Azure preferred).
  • Solid understanding of data modeling, ETL/ELT processes, and data architecture concepts.
  • Ability to work independently while collaborating with distributed teams.

KEY RESPONSIBILITIES

  • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
  • Define data architectures that support batch and streaming processing.
  • Integrate data from multiple sources, including databases, APIs, and cloud storage.
  • Optimize data solutions for performance, reliability, and cost efficiency.
  • Collaborate closely with data science, analytics, and business teams.
  • Provide technical leadership and guidance on data engineering best practices.
  • Translate complex Databricks architectures and data solutions into clear, business-friendly explanations for technical and non-technical audiences.
  • Document data architectures, pipelines, and technical decisions.
  • Support production systems and troubleshoot data-related issues as needed.

DESIRABLE SKILLS

  • Experience designing enterprise-scale data platforms.
  • Experience building, supporting, and scaling production-grade data pipelines in enterprise environments.
  • Exposure to analytics, BI, or data science workloads.
  • Familiarity with CI/CD practices for data engineering.
  • Strong communication skills with both technical and non-technical stakeholders. Any certifications for Databricks or Apache are a plus.

BENEFITS

• Competitive salary
• Flexible work environment
• Opportunities for growth and certifications
• Inclusive and collaborative team culture
• Access to cutting-edge tools and technologies

Power BIPythonData Integration

Experience and Skills

  • 6+ years of experience in data engineering or related data-focused roles.
    Professional Spanish for daily collaboration.
    Hands-on production experience building and operating data pipelines on AWS.
    Advanced SQL and relational data modeling skills.
    Strong experience with Power BI for business reporting and visualization.
    Production experience with Python for data processing.
    Strong collaboration, stakeholder communication, reliability and adaptability.

Key Responsibilities

  • Ingest, process, and transform data from multiple source systems into AWS-based data platforms.
  • Design and maintain integration flows for data movement between source and target systems, adhering to established standards.
  • Ensure data delivered to Power Apps applications and Power BI reports meets quality, consistency, and timeliness requirements.
  • Partner with product and business teams to identify data needs, evaluate source systems, and assess technical constraints.
  • Build data engineering solutions aligned with internal data strategy while maintaining autonomy and meeting committed timelines.

Power Apps.
AWS Lambda, S3 and Glue.
Apache Airflow.
dbt.
Snowflake.
Data quality, observability and lineage.
CI/CD for data pipelines.

Benefits

Work on high-impact data initiatives for a global resources and industrial operations company. This is a fully remote, full-time contractor role for candidates based in LATAM, paid monthly in USD.

You will join an established data engineering team as an individual contributor and collaborate directly with product and business stakeholders while working on reliable production data systems.

Amazon RedshiftSQLQuery Optimization

You bring:

  • - 5+ years of data engineering experience with deep production expertise in Amazon Redshift or Redshift Serverless.
  • - Advanced SQL and demonstrated query tuning on large datasets.
  • - Hands-on experience with S3, Glue, Lambda, IAM, and Redshift Spectrum.
  • - Experience with Airflow, dbt, Glue, or similar ETL/ELT tools.
  • - C1 English and the ability to work independently with stakeholders.

You will:

  • - Review the current Redshift setup and identify performance, cost, reliability, and design issues.
  • - Tune distribution keys, sort keys, compression, queries, and Workload Management.
  • - Build and maintain ETL/ELT pipelines using Redshift and the AWS data stack.
  • - Improve analytics-ready data models and document the changes and operating practices.

Nice to have:

  • Python, dbt, product analytics data pipelines, and experience in fintech or another regulated industry. These qualifications are optional.

Benefits

Contract: 1 to 2 weeks, full-time. Remote in LATAM, excluding Argentina and Brazil, with overlap with U.S. Eastern Time. Compensation starts at USD 25 per hour.

Amazon RedshiftSQLQuery Optimization

Experience and Skills

  • Senior data engineer with 5+ years of data engineering experience and deep hands-on Amazon Redshift expertise.
  • C1 English level or higher.
  • Advanced SQL and proven query tuning experience on large datasets.
  • Hands-on experience with Redshift Serverless, AWS S3, AWS Glue, AWS Lambda, AWS IAM, and Redshift Spectrum.
  • Experience building ETL/ELT pipelines using Airflow, dbt, or similar tools.
  • Hands-on experience with Workload Management, Data Modeling, Data Warehousing.

Skills

  • Amazon Redshift
  • Redshift Serverless
  • SQL
  • Query Tuning
  • AWS S3
  • AWS Glue
  • AWS Lambda
  • AWS IAM
  • Redshift Spectrum
  • ETL/ELT
  • Airflow
  • AWS
  • ETL
  • dbt
  • Workload Management
  • Data Modeling
  • Data Warehousing

Key Responsibilities

  • Review the current Redshift environment and identify performance, cost, reliability, and design issues.
  • Design and tune tables, including distribution keys, sort keys, compression, and Workload Management configuration.
  • Build and maintain ETL/ELT pipelines into Redshift using the AWS data stack and appropriate orchestration tools.
  • Optimize slow queries and reduce provisioned or Serverless Redshift costs.
  • Develop data models that support analytics and BI use cases.
  • Document best practices, technical findings, and implemented changes.

Nice to Have

  • dbt
  • Python
  • PostHog
  • Segment
  • Product Analytics
  • Fintech
  • Regulated Industries

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

DatabricksPythonSQL

Required qualifications

  • Experience with Databricks Asset Bundles (DAB).
  • Experience using Azure DevOps.
  • Knowledge of incremental processing and schema evolution.
  • Healthcare or Insurance industry experience.
  • Experience with cloud-based data platforms.

Key responsibilities

  • Develop and maintain data pipelines using Databricks.
  • Support the design and optimization of Delta Lake tables.
  • Work with Unity Catalog to support data governance and access management.
  • Participate in CI/CD processes using Azure DevOps and Databricks Asset Bundles (DAB).
  • Implement incremental data processing and support schema evolution requirements.
  • Collaborate with team members to troubleshoot data quality and performance issues.
  • Assist with data modeling activities and platform optimization efforts.
  • Document solutions and follow engineering best practices.
  • Ideally 5 YOE

Nice to have

  • Azure Databricks certifications.
  • Exposure to Medallion Architecture.
  • Data quality and monitoring framework

Conditions

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
PythonBig DataHadoop

Requirements:

  • 8+ years of experience as a Data Engineer.
  • Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
  • Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
  • Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and Flat file sources.
  • Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift
  • Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
  • Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
  • Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
  • Effective oral and written English communication skills with BI team and user community.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
  • Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
  • Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
  • Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
  • Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
  • Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
  • Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
  • Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Pluses:

  • Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
  • Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
  • Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.

We offer:

  • Remote work opportunity!
  • B2B Employment ($, gross).
  • Stable job with long-term growth perspective with talented people around.
  • Really good hardware.
  • Great learning and growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.
JavaETLSQL

Skills Excluyentes

  • Experiencia excluyente trabajando con Java.
  • Experiencia comprobable en procesos de Extracción, Transformación y Carga de datos (ETL).
  • Sólidos conocimientos como usuario de bases de datos, abarcando SQL, procedimientos almacenados y triggers.
  • Experiencia en procesos de manejo de datos, incluyendo tanto procesamiento en lotes como procesamientos distribuidos.
  • Inglés técnico/básico: Capacidad para leer documentación, entender requerimientos y redactar mensajes sencillos.

Funciones del cargo

El Semi Senior Developer se integrará al equipo para realizar la automatización, transformación y limpieza de datos provenientes de diversas fuentes, tales como Excel, XML y CSV. Su día a día incluirá la carga y revisión de estos archivos en la nube utilizando GCP. Además, trabajará activamente con pipelines de datos que alimentan entornos de Big Data a través de scripts.

Skills Deseables

  • Conocimientos en Python.
  • Diseño, creación y manejo de ETL On Prem (Pentaho, Control-M, Nifi) o Cloud (Airflow, Cloud Composer, Glue, Lambda).
  • Conocimientos en tecnologías como Spark y DataProc / DataFlow.
  • Conocimientos sobre ambientes de datos, calidad, modelado de procesos y flujos de datos.
  • Nociones básicas de estadísticas, machine learning y deep learning.

¿Qué ofrecemos?

  • Rango salarial: $2.000.000 - $2.200.000 CLP.
  • Modalidad: Remoto.
  • Horario: Lunes a Jueves de 8:30 a 18:30 hrs y Viernes de 8:30 a 17:30 hrs.
  • Contrato: Proyecto inicial de 6 meses con posible extensión.

Beneficios

  • Seguro complementario: Seguro de salud, vida y dental, para que estés protegido.
  • Curso de inglés: En nuestro programa de formación en el idioma, ofrecemos dos modalidades para adaptarnos a tus necesidades y objetivos, con profesores nativos.
  • Reembolso de certificaciones internacionales: Apoyamos el crecimiento profesional, por lo que te reembolsamos el costo de un examen de certificación internacional que quieras realizar.
  • Bono de vacaciones: Recibe una compensación económica por cada semana de vacaciones que tomes.
  • Aguinaldos en fiestas patrias y Navidad: Un bono en septiembre y en diciembre, para que la pases bien con tu familia.
  • Día libre de cumpleaños: Puedes tomarlo el día previo, el mismo día, o el posterior a tu cumpleaños.
  • Mejora tu espacio de trabajo: Te reembolsamos parte del costo de equipar tu home office para que trabajes cómodo y a gusto.
  • Betterfly: App de bienestar que premia tus hábitos saludables con telemedicina, psicología y nutrición, sin costo.
PythonLinuxDocker

Requisitos y habilidades

Buscamos un/a SRE / DevOps Engineer Junior con 1 a 3 años de experiencia en roles de SRE o DevOps. Requisitos técnicos: experiencia intermedia en Cloud (AWS, GCP o Azure), Terraform intermedio, Docker y Linux intermedios. Conocimientos en CI/CD y automatización (Bash o Python). Deseable experiencia en observabilidad y resolución de problemas en producción. Competencias blandas: proactividad, orientación a resultados, trabajo en equipo y capacidad de aprendizaje continuo. Se valorarán certificaciones en nube y herramientas de automatización.

Responsabilidades

  • Implementación de Infraestructura como Código (IaC) con Terraform para entornos de producción y staging.
  • Automatización de entornos y despliegues para garantizar entregas rápidas y confiables.
  • Operación de servicios en la nube (principalmente AWS) y gestión de incidentes/operaciones 24x7.
  • Soporte en monitoreo, alertamiento e RCA de incidentes; mejora continua de la observabilidad.
  • Mantenimiento de pipelines de CI/CD y documentación técnica actualizada.

Deseable

Experiencia práctica con Kubernetes, herramientas de monitoreo (Prometheus, Grafana, CloudWatch), scripting avanzado (Python), y conocimientos en seguridad en nube. Capacidad de trabajar en entornos dinámicos y con clientes de diversos sectores.

Beneficios y próximo pasos

En BC Tecnología promovemos un entorno de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura impulsa el crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
Modalidad híbrida ubicada en Las Condes, que facilita combinar trabajo remoto y presencial para un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
JavaPythonJavaScript

Experience and Skills

  • 5+ years of experience in Quality Assurance with a strong focus on test automation.
  • C1 English level or higher.
  • Solid programming experience in at least one language: Java, Python, or JavaScript.
  • Hands-on experience with web automation frameworks such as Selenium WebDriver, WebdriverIO, Cypress, or Playwright.
  • Proven experience integrating automated tests into CI/CD pipelines using tools like Jenkins or GitLab CI.
  • Strong proficiency in SQL for data validation and database testing.
  • Experience working within Agile methodologies, specifically Scrum or Kanban.

Skills

  • QA Automation
  • Java
  • Python
  • JavaScript
  • Selenium
  • Cypress
  • Playwright
  • CI/CD
  • Jenkins
  • GitLab CI
  • SQL
  • Scrum
  • Kanban

Key Responsibilities

  • Design, implement, and maintain scalable test automation frameworks for web and mobile applications.
  • Execute manual and exploratory testing to ensure comprehensive coverage of critical business scenarios.
  • Participate in early stages of the software development lifecycle (Shift Left) to identify potential issues before coding begins.
  • Integrate and maintain automated test suites within continuous integration and continuous deployment pipelines.
  • Document test cases, track defects, and report quality metrics using tools like Jira, TestRail, or Zephyr.
  • Collaborate with developers and product managers to align testing strategies with business requirements and technical specifications.
  • Research and implement AI-driven testing tools to optimize test suite maintenance and anomaly detection.

Nice to Have

  • Appium
  • JMeter
  • Gatling
  • Postman
  • Newman
  • Karate DSL
  • Generative AI
  • OTT Testing
  • Smart TV Testing

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PowerShellPython

Experience and Skills

  • 3+ years of hands-on experience owning endpoint, workplace, IT platform, or digital employee experience systems.
  • Experience working with device management platforms such as Intune, Jamf, or equivalent tools.
  • Experience with identity providers such as Azure AD / Entra ID, Okta, or similar platforms.
  • Strong scripting or automation experience using PowerShell, Python, shell scripting, or similar tools.
  • Experience designing automation that reduces manual operational work, improves support processes, or prevents recurring incidents.
  • Ability to analyze operational data, identify patterns, and propose durable platform-level solutions rather than isolated fixes.
  • Comfortable collaborating with Security, Infrastructure, Productivity, and IT Support teams.
  • Advanced English level, ideally C1 or higher, to communicate with international stakeholders.

Skills

  • Endpoint Management
  • Intune
  • Azure AD / Entra ID
  • PowerShell
  • Python
  • IT Automation
  • Identity Providers
  • Digital Workplace
  • AI-assisted workflows

Key Responsibilities

  • Own endpoint lifecycle management end to end, including device provisioning, configuration standards, identity integration, updates, and remediation automation.
  • Design and implement AI-assisted diagnostics and self-service workflows that help employees resolve common issues without manual support intervention.
  • Analyze incident trends, ticket patterns, and operational data to identify systemic root causes and reduce recurring problems.
  • Partner with Security, Infrastructure, Productivity, and IT Support teams to ensure workplace systems are secure, reliable, scalable, and easy to maintain.
  • Build automation using scripting, workflow tools, endpoint management platforms, and AI-assisted solutions to reduce repetitive operational work.
  • Document processes, standards, and workflows so they can be adopted and maintained by distributed technical teams.
  • Measure success through reduced ticket volume, higher automation coverage, faster issue resolution, and improved employee satisfaction.

Nice to Have

  • Experience with Jamf, Okta, ServiceNow, Power Automate, Copilot, or other low-code / automation platforms.
  • Familiarity with SRE practices, AIOps, observability, or proactive remediation.
  • Experience building internal tools, self-service portals, or employee-facing automation.
  • Previous experience supporting distributed or remote-first teams.
  • Interest in applying AI to IT operations, diagnostics, knowledge management, or employee support workflows.

What we provide

Join Niuro’s 100% remote work model, designed to give you flexibility while working in a collaborative and technically strong environment. We support your professional growth through continuous learning opportunities, exposure to challenging projects, and the possibility to take on greater ownership over time.

You’ll be part of a global community that values technical excellence, clear communication, autonomy, and continuous improvement. Niuro also provides a solid administrative and operational structure, helping you stay focused on delivering meaningful work without unnecessary friction.

After the initial contract period, there may be opportunities for long-term collaboration depending on performance, project continuity, and team needs. This is an opportunity to work on technically rigorous initiatives with real-world impact, while being part of a culture that values innovation, ownership, and work-life balance.

Test AutomationJavaScriptBlack Box Testing

What We Are Looking For

  • Experience: 3+ years in a QA or SDET role on a SaaS product.
  • Black-Box Testing: Strong instincts for functional testing, exploratory testing, user flow validation, and edge case identification.
  • White-Box Fundamentals: Comfortable reading code, contributing to unit/integration test coverage, and collaborating with developers at the code level.
  • JavaScript Proficiency: Hands-on experience with test automation in JavaScript (Playwright, Cypress, or similar).
  • API Testing: Experience testing REST APIs via Postman, pytest, or equivalent tooling.
  • Data Awareness: Familiarity with MongoDB or complex data structures where accuracy is non-negotiable.
  • The Right Mindset: You thrive in a startup environment. You are analytical, detail-obsessed, and take initiative to find problems before users do.
  • English Proficiency: Fluent enough in English to communicate clearly with the team in writing and video calls (B2+ level or equivalent professional experience).

What You Will Do

  • Own end-to-end test coverage for our three core platform modules: Rights, Royalties, and Content — ensuring accuracy in financial calculations, rights conflict detection, and content delivery workflows.
  • Design and execute black-box test plans covering user flows, edge cases, boundary conditions, and negative testing across the platform UI and APIs.
  • Apply white-box testing techniques — reviewing code paths, writing and maintaining unit and integration tests — in close collaboration with our engineering team.
  • Write and maintain automated test suites in JavaScript using frameworks such as Playwright or Cypress.
  • Test REST API endpoints (FastAPI) for correctness, data integrity, and performance under real-world conditions.
  • Perform regression testing across releases and flag issues early through code review participation.
  • File detailed, reproducible bug reports and track them to resolution in collaboration with engineers and product leadership.
  • Contribute to CI/CD pipeline test integration to support rapid, confident deployments.

Bonus

  • Experience in media, entertainment, rights management, or fintech — anywhere financial accuracy and data integrity are mission-critical.

Why You Will Love Working Here

  • Real Flexibility: We offer work flexibility, and we are serious about you actually taking time off. 10 days a year — minimum.
  • Modern Tooling: We want you to move fast. The company completely covers your subscriptions for advanced AI coding tools like Cursor and Claude.
  • The Package: Excellent medical, dental, and vision benefits, a top-tier hardware setup provided by us, and a 401K plan (no company match just yet).
Cloud MonitoringLinuxBatch Processing

Que necesitamos de ti

Buscamos un/a profesional que mantenga el foco en la operación segura y confiable de nuestros sistemas, con habilidades para observar, detectar y actuar ante anomalías. Valoramos la capacidad de análisis para interpretar logs y contribuir al diagnóstico de fallas, además de la disciplina operativa para seguir jobs, procesos batch y workers.
Se espera que:
  • Seas egresada o egresado de Ingeniería Informática o carrera afín, o cuentes con formación técnica equivalente.
  • Experiencia en monitoreo de infraestructura y aplicaciones en entornos cloud (Grafana, Prometheus u otras).
  • Experiencia usando Linux como sistema operativo de servidores.
  • Experiencia configurando alertas automatizadas y notificaciones push.
  • Experiencia gestionando o dando seguimiento a procesos batch y jobs programados.
  • Capacidad de definir umbrales y reglas de detección de anomalías.
  • Experiencia con herramientas de tickets/incidentes (GLPI, GitLab, Jira u otras).
  • Leer en inglés sin Google Translator ni IA.
  • Se requiere al menos 2 años de experiencia en roles similares.
También buscamos buenas habilidades de comunicación, trabajo colaborativo y orientación a la mejora continua para incrementar la visibilidad de los sistemas y reducir la recurrencia de fallas.

Que harás con nosotros

  • Monitorear disponibilidad, rendimiento y estado de la infraestructura y aplicaciones en la nube.
  • Configurar y mantener alertas automatizadas con notificación push ante anomalías (por ejemplo, Slack, PushOver, SNS u otras).
  • Dar seguimiento a jobs, procesos batch y workers, asegurando su correcta ejecución.
  • Analizar logs operacionales para el diagnóstico de fallas.
  • Construir y mantener tableros de control (dashboards).
  • Monitorear servicios de alta disponibilidad (uptime, failover, health checks).
  • Escalar incidentes operativos de forma oportuna según su criticidad.
  • Colaborar con equipos técnicos para resolver incidencias y mejorar la observabilidad de los sistemas.

Sumas puntos si

  • Experiencia trabajando con herramientas y canales de notificación como Slack, PushOver, Amazon SNS u otros mecanismos equivalentes.
  • Conocimiento de procesos batch y ejecución de workers en entornos de nube.
  • Experiencia mejorando observabilidad end-to-end (métricas, logs y alertas) mediante mejoras incrementales.
  • Cuentas con experiencia en la industria financiera o en compañías de infraestructura de mercado (FMI, AFP, bolsas, DCV u otro).
  • Conocimientos básicos de scripting (Python, Bash) para automatizar chequeos.
  • Experiencia integrando sistemas de monitoreo con herramientas de mensajería (webhooks, APIs).
  • Conocimientos de plataformas cloud (GCP).
  • Conocimientos de Seguridad TI.

Beneficios

  • Excelente clima laboral junto a un gran equipo.
  • Seguro complementario de salud, incluyendo dental, catastrófico y vida.
  • Amplias posibilidades para aprender del rubro de inversiones.
  • Incentivo al ahorro previsional voluntario (APV).
  • Buena relación vida/trabajo.
Si vienes a la oficina:
  • Vestimenta casual
  • Estacionamiento para bicicletas
  • Y un buen café!
La empresa queda ubicada en pleno centro de Providencia a pasos del metro.
PythonTest AutomationPytest

Experience and Skills

  • Senior-level experience, including 4+ years of professional experience in Quality Assurance, Quality Engineering, or Software Testing.
  • C1 English level or higher.
  • Strong Python programming skills for test automation and scripting.
  • Proven experience testing REST APIs and backend services.
  • Experience validating data-driven applications and complex workflows.
  • Hands-on experience with automated testing frameworks such as PyTest, Playwright, Selenium, or Cypress.
  • Experience working within Agile software development teams.
  • Ability to work independently and provide technical leadership within a small, fast-moving team.
  • Hands-on experience with API Testing, Backend Testing.

Skills

  • Python
  • PyTest
  • Playwright
  • Selenium
  • Cypress
  • REST APIs
  • API Testing
  • Backend Testing
  • Agile
  • Testing
  • automation

Key Responsibilities

  • Design and implement comprehensive QA strategies and scalable testing processes for new products and client integrations.
  • Build and maintain automated test suites using Python and modern frameworks to validate web applications, APIs, and data pipelines.
  • Develop test plans, test cases, regression suites, and release validation processes.
  • Identify, document, prioritize, and verify software defects throughout the development lifecycle.
  • Collaborate with software engineers to integrate quality assurance early in the development cycle and improve overall release readiness.
  • Leverage AI tools and modern methodologies to optimize QA efficiency, test coverage, and defect analysis.

Nice to Have

  • LLMs
  • Generative AI
  • RAG
  • SQL
  • CI/CD
  • Performance Testing
  • Load Testing
  • Cloud-native Systems

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Infrastructure as CodeAWSCloud Monitoring

Requerimientos del cargo

  • Formación: Licenciatura en Informática o campo relacionado.
  • Experiencia: Mínimo 3 años de experiencia en computación en la nube, con un enfoque destacado en AWS.
  • Habilidades blandas: Habilidades de resolución de problemas y capacidad para trabajar en entornos dinámicos.
  • Habilidades técnicas:
    • AWS (Amazon Web Services): Experiencia sólida en la implementación y gestión de soluciones en la nube utilizando servicios de AWS.
    • Networking: Conocimientos en configuración y gestión de redes dentro de un entorno de infraestructura en la nube (subredes, VPN, VPC, etc.)
    • Infraestructura Multi-región y Alta Disponibilidad (HA): Implementación de soluciones de alta disponibilidad y recuperación ante desastres en AWS.
    • Terraform: Automatización de la infraestructura como código con Terraform.
    • AWS Lambda (Python): Desarrollo y mantenimiento de funciones Lambda utilizando Python para aplicaciones sin servidor.
    • Amazon EC2, S3, RDS, VPC, IAM, CloudWatch, CloudFormation, Route 53: Experiencia en el uso de estos servicios de AWS para administrar infraestructura.
    • Monitoreo y Gestión de Logs: Uso de herramientas como CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana) para monitoreo y análisis de logs.
    • Seguridad en la nube: Implementación de buenas prácticas de seguridad en AWS, incluyendo control de acceso, cifrado y auditoría.

Funciones del cargo

  • Evolución y Arquitectura de la Infraestructura: Evaluar de forma crítica la infraestructura actual y liderar su evolución. Tu misión será robustecer nuestra arquitectura en la nube (AWS), asegurando que el ciclo de vida de los recursos diarios (creación, modificación, operación y eliminación) se ejecute bajo estándares rigurosos de alta disponibilidad, resiliencia y alineación absoluta con el negocio.
  • Consolidación de la Automatización (IaC): Tomar nuestras prácticas actuales de infraestructura como código (ej. CloudFormation) y control de versiones, y llevarlas al siguiente nivel de madurez. Buscamos estandarizar y auditar nuestros flujos de aprovisionamiento para que cualquier cambio sea trazable, predecible y metodológicamente impecable.
  • Gobierno y Seguridad Continua: Ir más allá de configurar servicios de seguridad (IAM, KMS). Serás responsable de integrar la seguridad desde el diseño, evaluando proactivamente nuestras políticas para crear cimientos sólidos que preparen a la plataforma para cumplir con los más altos y rigurosos estándares de la industria y la calidad empresarial.
  • Madurez en FinOps y Eficiencia Operativa: Evolucionar nuestro actual control de inventarios y prácticas de gestión de costos. Analizar críticamente la telemetría y el uso de recursos no solo para "apagar lo que no se usa", sino para maximizar la eficiencia operativa, establecer métricas claras y promover una cultura de gasto inteligente.
  • Resiliencia y Mejora Continua (Operaciones): Transformar la gestión tradicional de incidentes en una práctica proactiva. Utilizar nuestro actual ecosistema de alarmas y monitoreo para identificar patrones, aplicando tu criterio técnico para que la resolución de cada problema se convierta en una mejora estructural y preventiva a largo plazo.
  • Evangelización Técnica y Alineación: Ser un puente estratégico entre los equipos de desarrollo, operaciones y producto.

Deseables

  • Certificación AWS (Solutions Architect, SysOps Administrator, etc.)
  • Serverless Framework: Experiencia con arquitecturas serverless.
  • Kubernetes: Gestión y orquestación de contenedores con Kubernetes.
  • GitOps: Uso de herramientas como ArgoCD o Flux para la gestión de infraestructura a través de Git.
  • CI/CD Avanzado: Uso de Jenkins, CircleCI o GitLab para implementar pipelines de integración continua y despliegue continuo.
  • Automatización y Orquestación: Familiaridad con CI/CD, scripting (Python, Bash) y gestión de configuraciones.
  • Contenedores Docker: Experiencia con Docker y su integración en un entorno de Kubernetes.

Condiciones

  • Celebra tu cumpleaños 🎉
  • Nos preocupamos en mantener una cultura de trabajo profesional con respeto y compromiso.
  • Trabajar con un equipo diverso de profesionales en un entorno ágil y colaborativo.
  • Modalidad 100% remoto.
  • Se trabaja adaptados a los horarios y feriados de Chile.
  • 15 días de vacaciones por año.
  • Horario de trabajo de lunes a jueves de 09:00 a 18:00 hrs, y viernes de 09:00 a 15:30 hrs.
PythonReactFull-stack

Requirements

  • Experience building and maintaining production software
  • Experience with Python / React (PHP knowledge is also a good plus)
  • Strong software engineering fundamentals
  • Comfortable working across the stack
  • Strong English communication skills
  • Ability to work during required U.S. business hours
  • Ability to participate in occasional production support and weekend issue resolution

What You'll Work On

Your primary focus will be RingRadar. You'll help build new features, improve reliability, solve customer problems, and create systems that help the business scale.
This role is ideal for someone who enjoys understanding how a business works as a whole.
You'll also have opportunities to contribute to other software businesses within our growing portfolio.
Beyond our individual products, we're also building shared tools, AI agents, workflows, and operational systems that can be reused across multiple software businesses.
What You'll Work On
  • Building and maintaining features across the RingRadar platform
  • Fixing bugs and improving reliability
  • Working across both frontend and backend systems
  • Building AI-powered tools and workflows
  • Improving internal operations and automation
  • Troubleshooting production issues when needed
  • Collaborating closely with customer support and operations teams Building internal tools that help the business operate more efficiently Occasionally contributing to projects across our broader software portfolio
We Value End-to-End Execution
We are not looking for someone who simply completes assigned tickets. We're looking for someone who can take a problem from start to finish:
  • Understand customer feedback and business requirements
  • Help define the right solution
  • Write clear technical or product specifications when needed
  • Implement the solution
  • Test it thoroughly
  • Deploy it to production
  • Monitor results and make improvements
Rather than dividing work into narrow roles, we prefer people who are comfortable working across product, engineering, testing, and operations when needed.
We Value Engineering Excellence
We care deeply about code quality, reliability, and maintainability.
  • Writes clean, well-structured code
  • Follows engineering best practices
  • Produces software that is reliable in production
Our goal is not simply to ship quickly. Our goal is to ship quickly while maintaining a high standard of quality.

Who We're Looking For

We're looking for a generalist who enjoys solving problems wherever they appear.
You might be a great fit if you:
  • Enjoy both technical and business challenges
  • Like learning new skills outside your primary role
  • Are comfortable working independently
  • Have strong written communication skills
  • Enjoy using AI tools to increase your effectiveness
  • Are curious about product, operations, customer support, and business systems
  • Enjoy taking a problem from idea to implementation

Fully Remote, Highly Asynchronous, Almost No Meetings

We believe great work doesn't require sitting in meetings all day.
Our team is fully remote and operates primarily through written communication, documentation, and asynchronous collaboration.
We value clear thinking, strong writing, and the ability to work independently. Most projects move forward through well-written specifications, documented decisions, and thoughtful communication rather than frequent meetings.
As a result:
  • You'll have long, uninterrupted blocks of time for focused work
  • You'll spend far less time in meetings than at a typical software company
  • You'll have significant autonomy in how you manage your day
  • Decisions and discussions are documented rather than hidden in meetings
  • Your success is measured by results, not by how many hours you spend on video calls
We still meet when it adds value, but we strongly prefer documentation and asynchronous communication whenever possible.
MicroservicesLangChainPython

Experience and Skills

  • 4+ years of professional software engineering experience with a strong foundation in backend or full-stack development.
  • C1 English level or higher.
  • Solid programming skills in Python.
  • Hands-on experience building AI/LLM applications using frameworks like LangChain, LlamaIndex, or CrewAI.
  • Experience connecting and working with LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
  • Proven experience developing APIs using FastAPI, Flask, or Django.
  • Familiarity with cloud environments and containerization using Docker.
  • Experience with Git and GitHub.

Skills

  • Python
  • LangChain
  • LlamaIndex
  • CrewAI
  • FastAPI (o Flask / Django)
  • OpenAI API / Anthropic API
  • AWS Bedrock / Azure OpenAI
  • Docker
  • Git / GitHub
  • FastAPI
  • Flask
  • Django
  • OpenAI API
  • Anthropic API
  • AWS Bedrock
  • Azure OpenAI
  • Git
  • GitHub
  • APIs
  • Backend Development
  • Cloud Computing

Key Responsibilities

  • Design and develop AI-driven applications, features, and conversational interfaces.
  • Integrate Large Language Models (LLMs) into core products using modern orchestration libraries.
  • Build and maintain robust backend APIs and microservices to support AI functionalities.
  • Collaborate with frontend and product teams to deliver smooth AI-powered user experiences.
  • Monitor, debug, and optimize LLM calls to improve latency, cost, and response quality.

Nice to Have

  • Pinecone / ChromaDB / Qdrant / pgvector
  • LangGraph / Pydantic AI
  • GitHub Actions (CI/CD)
  • Pinecone
  • ChromaDB
  • Qdrant
  • pgvector
  • LangGraph
  • Pydantic AI
  • GitHub Actions
  • CI/CD
  • Vector Databases

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

NestJSNext.jsReact

Experience and Skills

  • 5+ years of professional full-stack development experience, with a strong focus on data-heavy applications.
  • Proven expertise with NestJS, NextJS, React, and managing large-scale TypeScript monorepos.
  • Hands-on experience building resilient ETL/ingestion pipelines, handling schema migrations, and managing data deltas using GCP native tooling.
  • C1 English level or higher.

Skills

  • NestJS
  • NextJS
  • TypeScript
  • GCP
  • Node.js
  • React
  • Python
  • ETL
  • Monorepos

Key Responsibilities

  • Architect and build a custom internal services admin tool leveraging React Admin to replace the current setup.
  • Design and implement hyperlocal, location-specific features that deliver highly relevant local data to users.
  • Build robust, multi-step data pipelines to ingest partner data, implementing automated schema drift detection and retry mechanisms.
  • Advance and scale existing AI-driven agentic workflows utilized for automated services scanning and data enrichment.

Nice to Have

  • React Admin
  • Directus
  • Healthcare IT

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonFastAPIReact

Experience and Skills

  • 8+ years of professional software engineering experience, with demonstrated progression into technical leadership roles.
  • C1 English level or higher.
  • Proven experience leading, mentoring, and scaling engineering teams of 10 or more developers.
  • Deep technical expertise in Python and FastAPI for production backend systems.
  • Expert-level knowledge of React and TypeScript for modern frontend architecture.
  • Hands-on experience managing cloud infrastructure across both AWS and Google Cloud Platform (GCP).
  • Production-level experience integrating LLM services, including the OpenAI API.
  • Strong foundation in system architecture design at scale, REST API design, and Agile delivery practices.

Skills

  • Python
  • FastAPI
  • React
  • TypeScript
  • AWS
  • Google Cloud Platform
  • OpenAI API
  • System Architecture
  • REST API
  • Agile

Key Responsibilities

  • Define and execute the technical architecture for a high-scale platform serving millions of users.
  • Lead, mentor, and grow a distributed team of 10 to 15 software engineers across LATAM.
  • Maintain hands-on development contribution, including writing code and conducting active code reviews.
  • Own and optimize cloud infrastructure strategy and operations across AWS and GCP environments.
  • Architect and implement secure, reliable AI and LLM integrations to enhance the core product experience.
  • Collaborate directly with product, business, and executive stakeholders to align technical roadmaps with organizational goals.

Nice to Have

  • EdTech

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

ReactNext.jsTypeScript

Qualifications and requirements

  • Strong professional experience with React, Next.js, TypeScript and modern JavaScript.
  • Experience building and debugging production web applications and customer-facing user flows.
  • Ability to investigate difficult issues across frontend code, APIs, backend services, browser behavior and third-party integrations.
  • Node.js experience and an understanding of REST APIs, databases, authentication and server-side application behavior.
  • Experience writing automated tests, preferably with Playwright or another end-to-end browser-testing framework.
  • Experience with product analytics, session replay, error tracking or production-monitoring tools.
  • Practical Linux, Docker, Git and CI/CD experience.
  • Experience working with e-commerce applications, carts, checkout flows, payments or related integrations.
  • Regular, effective use of AI development tools such as Codex, Claude Code, Cursor or similar systems.
  • Ability to understand, test and verify AI-generated work rather than accepting it without review.
  • Strong problem-solving, written communication and documentation skills.
  • Able to work independently while communicating clearly with a small founder-led team.
  • Fluent professional English.
  • Available approximately 40 hours per week with at least four daily hours overlapping Eastern Time.
  • Comfortable beginning with a paid technical trial before transitioning into a long-term role.

Job functions

  • Diagnose and fix production React, Next.js and TypeScript bugs affecting storefront reliability and conversion.
  • Investigate cart, checkout, promotion, mobile and browser-session failures.
  • Improve PostHog event tracking, funnels, session replay, error monitoring and alerts.
  • Build Playwright end-to-end tests for critical customer journeys and configure BrowserStack coverage.
  • Develop and maintain frontend features, backend services and third-party integrations.
  • Help manage Linux servers, Docker environments, CI/CD pipelines, networking and cloud infrastructure.
  • Support GPU machines, locally hosted AI models and internal AI coding-agent workflows.
  • Use AI development tools effectively while reviewing, testing and understanding all resulting code.
  • Document root causes, technical decisions and regression coverage.
  • Work directly with the founders to prioritize and deliver improvements.

Success will be measured by fewer production regressions, faster issue resolution, stronger automated test coverage, more reliable analytics and demonstrable improvements to customer experience and conversion.

Desirable skills

  • Medusa.js or another headless-commerce platform.
  • PostHog funnels, event design, session replay, feature flags or experiments.
  • BrowserStack, Sentry or comparable testing and monitoring platforms.
  • Python development and automation.
  • GPU server administration, NVIDIA/CUDA environments or containerized GPU workloads.
  • Deploying or managing self-hosted AI models with tools such as vLLM, Ollama or similar inference systems.
  • Experience with coding agents, MCP tools or multi-agent development workflows.
  • Cloud infrastructure, networking, observability and secrets management.
  • Railway, Cloudflare, PostgreSQL, Redis or comparable services.
  • Buildkite, GitHub Actions or other CI/CD platforms.
  • Payment, shipping, tax, inventory, age-verification or other e-commerce integrations.
  • Performance optimization, Core Web Vitals and conversion-rate optimization.
ReactPythonAutomated Testing

Requerimientos del cargo

Este rol NO es para ti si:

  • Prefieres que te lleguen las tareas ya definidas. Tu TL te va a decir qué hay que lograr, no cómo. Escalas lo que esté fuera de tu alcance; el resto lo resuelves tú.
  • Quieres quedarte solo en el front. El onboarding vive en React y se apoya en servicios en Python: te vas a meter en los dos lados.

Lo que sí necesitamos:

  • +6 años desarrollando software y experiencia demostrable como fullstack, idealmente con stack Python.
  • Manejo real de React. No pedimos que seas el referente del equipo: sí que puedas discutir de igual a igual una decisión de arquitectura de front y sostenerla con argumentos.
  • Experiencia modelando flujos de negocio multi-paso: máquinas de estado, pasos con precondiciones, reintentos, procesos que se abandonan y se retoman días después.
  • Disposición y foco sobre estabilidad, escalabilidad y buenas prácticas, incluidas estrategias de testing (unitario, integración y E2E) sobre flujos críticos, con simulación de servicios de terceros.
  • Criterio de producto. Sabes leer una métrica de caída, hablar con quien atiende al cliente y decidir qué se arregla primero. Discutes el requerimiento antes de implementarlo.
  • Autonomía real y comunicación asertiva: capacidad de influir, alinear y sostener un estándar sin autoridad formal sobre las personas con las que trabajas.

Tu misión

Buscamos a un/a ingeniero/a de software fullstack con harta experiencia, para:

  • Entender el onboarding de punta a punta. Qué rol cumple cada paso, por qué existe, quién es su usuario, qué producto lo necesita y qué pasa cuando falla. Hoy ese mapa completo no vive en la cabeza de nadie.
  • Mejorar la experiencia de hoy desde el primer mes. Antes de que exista una sola línea de código de la reescritura ya hay mucho por ganar: ver dónde se traba la gente, atacar los pasos que más fricción generan y liberar mejoras sobre el proceso que ya está andando.
  • Diseñar y liderar la reescritura. Proponer la arquitectura del onboarding definitivo: pasos como piezas componibles, con sus actores, precondiciones, estados y vigencia explícitos, en vez de pantallas encadenadas. Que sea mantenible, evolucionable y que minimice errores por construcción.
  • Decidir qué se reutiliza entre productos. Si alguien ya completó un paso para contratar un producto, ¿se lo volvemos a pedir para el siguiente? Reutilizar baja la fricción; repetir sostiene la cobertura de riesgo. Esa discusión se lleva con Riesgo y con Producto: no la define ingeniería sola.
  • Construir para el Maxxa internacional. Esta reescritura es la versión que se lleva a los otros países. Los conceptos se repiten —identidad, cobro automático, firma, garantías— pero el proveedor y la regulación cambian en cada mercado.
  • Coordinar sin mandar. Buena parte de los servicios que el onboarding orquesta los construyen otros equipos de Tecnología. No los diriges: los alineas, con una visión global de lo que tu producto tiene que lograr y con un estándar alto de lo que aceptas.

Habilidades deseables

  • Arquitectura hexagonal / puertos y adaptadores, o Clean Architecture aplicada al frontend, con separación real entre dominio, casos de uso e infraestructura. Es a donde queremos llegar con la reescritura: si ya lo hiciste, mejor; si no, es parte de lo que vas a aprender acá.
  • Python en profundidad (Django/Flask/FastAPI) o experiencia sólida en otro backend.
  • Haber sido referente técnico de frontend de un equipo: no solo escribir buen código, sino haber subido el piso de los demás.
  • Sensibilidad de UX y accesibilidad; experiencia leyendo métricas de interacción y experimentación (Mixpanel, Amplitude o similares).
  • Uso fluido de herramientas de IA para desarrollo (Claude Code, Cursor) y estándares como MCP.
  • Formación en Ingeniería Civil en Computación / Informática, Industrial mención TI/Computación o afines. No es excluyente.

Beneficios y cultura

Cómo trabajamos este rol. Reportas al Tech Lead de Experiencia Unificada, el equipo dueño de login, registro, home, perfil y ahora onboarding. No tienes personas a cargo: tu peso en la organización viene de ser dueño/a del onboarding y de coordinarte con los equipos que construyen los servicios que ese proceso orquesta.

Te unirás a una fintech donde tu energía se ve recompensada:

  • Modalidad híbrida para personas con residencia en Santiago de Chile y full remoto para otras ubicaciones.
  • Tiempo de bienestar: con metas cumplidas, sales 30 min antes todos los días. Días administrativos, tarde libre por cumpleaños y día de mudanza.
  • Asignación de almuerzo.
  • Seguro complementario de salud, dental y vida (al pasar a contrato indefinido).
  • Aguinaldos y bonos de matrimonio, nacimiento y escolaridad, entre otros.
  • Capacitación continua en UBITS.
  • En la oficina: snack saludable, cafetería ilimitada, actividades de equipo y más.

Los beneficios corresponden a contratación bajo legislación chilena.

About jobs in Python

Remote job offers for Python developers. Backend, Data Science, Machine Learning and automation. International companies hiring in LATAM. At RemoteJobs.lat we connect Latin American professionals with companies offering 100% remote work. All our listings let you work from any city, with pay in dollars or international currency.

Salary range

$3,500 - $9,000 USD/mes

Open positions

163

Location

100% Remote LATAM

Tip: You can also search jobs in related skills like Django,

Python salary ranges by seniority

Estimated ranges in USD/month for remote contracts with international companies. Vary by company, complementary stack and client location.

Level Years of experience Range USD/month
Junior 0-2 $3,500 - $4,875
Mid-level 2-4 $4,600 - $6,525
Senior 4-7 $6,250 - $8,175
Lead/Staff 7+ $7,625 - $9,000

Companies hiring remote Python from LATAM

Some companies that have historically hired Python profiles to work 100% remotely from Latin America:

Mercado Libre Globant Auth0 Nubank Cloudwalk Stripe GitLab Crossover Toptal

Frequently asked questions

The typical range for a remote Python working for international companies is $3,500 - $9,000 USD/mes. The exact amount depends on seniority, the company's country, and whether the contract is full-time or project-based.

The most in-demand Python profiles usually combine Django, Flask, Fastapi. Adding one of these opens more job offers and often increases salary range by 15% to 30%.

For US/EU companies yes: B2 minimum for technical interviews. There are alternatives at LATAM companies (Mercado Libre, Globant, Rappi) or agencies like Toptal where intermediate English is enough to start.

The 3 highest-impact things: (1) a public GitHub with 2-3 solid projects relevant to Python, (2) an English LinkedIn profile optimized for recruiters, and (3) applying to 20+ offers per week instead of 2-3.
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