Remote Machine Learning Jobs

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.

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

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.

Experience and Skills

• 8+ years of backend development experience, with recent hands-on expertise in .NET 8+ and modern hosting models.
• C1 English level or higher.
• Proven experience leading at least two complete legacy migration cycles in regulated industries such as fintech, taxes, or healthcare.
• Deep understanding of .NET fundamentals, including .NET Standard compatibility, GC behavior, async patterns, and memory allocation minimization.
• Advanced database and ORM experience, specifically with EF Core, Dapper, SQL Server or MySQL, and high-volume bulk operations.
• Strong background in distributed systems architecture, including CQRS, event-driven messaging (SQS, Azure Service Bus, or RabbitMQ), and Redis caching.
• Experience with migration patterns such as Strangler Fig, Golden Master testing, and parallel runs.
• Daily experience using Claude Code with structured workflows, token management strategies, and Model Context Protocol (MCP) architectures.

Skills

• .NET 8
• C#
• EF Core
• Dapper
• SQL Server
• MySQL
• CQRS
• Redis
• AWS SQS
• Azure Service Bus
• Claude Code
• MCP

Key Responsibilities

• Lead the incremental migration of legacy backend systems using the Strangler Fig pattern, feature flags, and parallel runs to ensure zero client-visible incidents.
• Design and implement production-grade REST APIs in .NET 8+ using Clean Architecture, DDD, and CQRS principles.
• Expose backend endpoints as secure and reliable MCP tools for AI agents to consume business logic.
• Own the data access layer, utilizing EF Core for domain operations and Dapper for high-performance read paths.
• Design caching strategies, messaging patterns, and asynchronous processing to handle seasonal traffic spikes.
• Implement idempotency, observability, circuit breakers, and other resiliency patterns from day one.
• Proactively communicate migration scope, technical risks, and trade-offs to non-technical stakeholders.
• Collaborate daily with AI engineering teams to align on backend and AI integration decisions.

Nice to Have

• LangChain
• RAG
• Datadog
• OpenTelemetry
• Terraform
• Docker
• Kubernetes
• AWS

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.

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

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

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

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

Why Join Artefact

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.

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.

• 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

Experience and Skills

• Mid-level seniority with 3+ years of verifiable experience as a Product Owner or in an equivalent technical delivery coordination role.
• Demonstrated experience managing backlogs, sprint planning, and daily ceremonies within an agile environment.
• Hands-on experience using ClickUp or an equivalent modern project tracking and capacity management tool.
• Demonstrated experience coordinating cross-functional technical teams across multiple parallel workstreams.
• Native or bilingual Spanish proficiency with structured, clear written and verbal communication skills.
• Hands-on experience with Product Ownership, Agile Methodologies, Scrum, Backlog Management.

Skills

• Product Ownership
• Agile Methodologies
• Scrum
• Backlog Management
• Sprint Planning
• ClickUp

Key Responsibilities

• Maintain and update comprehensive project documentation, timelines, and roadmaps across three active initiatives.
• Facilitate daily standups and agile ceremonies, proactively identifying delivery risks and removing blockers.
• Serve as the operational bridge connecting remote software development teams with technical infrastructure counterparts.
• Track and organize deliverables, team capacity, and task progress using ClickUp.
• Support the discovery, intake, and assessment of new digital and AI opportunities.

Nice to Have

• Artificial Intelligence
• AI Agents

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.

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.

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.

• 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

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

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.

• 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

Experience and Skills

• Senior-level professional with 3-5 years of relevant experience in AI operations, automation, engineering, research, or a related field.
• C1 English level or higher
• Demonstrated experience building AI systems and AI agents.
• Experience designing workflow automation and optimizing processes.
• Strong systems thinking and bottleneck analysis skills.
• Experience with client delivery, SLA management, and client communication.
• Ability to support account growth, apply commercial judgment, prioritize using KPIs, and measure impact.
• Hands-on experience with AI system building, Client delivery and SLA management, Account growth and commercial judgment, KPI-based prioritization and impact measurement, Client communication in English, KPI-Based Prioritization, Impact Measurement, Process Optimization.

Skills

• AI system building
• Workflow automation
• Systems thinking and bottleneck analysis
• Client delivery and SLA management
• Account growth and commercial judgment
• KPI-based prioritization and impact measurement
• Client communication in English
• Systems Thinking
• Bottleneck Analysis
• Client Delivery
• SLA Management
• Account Growth
• Commercial Judgment
• KPI-Based Prioritization
• Impact Measurement
• Client Communication
• AI Agents
• Process Optimization

Key Responsibilities

• Build, deploy, and improve AI systems, agents, and workflow automations that address operational needs.
• Analyze processes, identify bottlenecks, and implement improvements that increase efficiency, quality, or throughput.
• Own client delivery, service-level expectations, issue resolution, and ongoing communication with US clients.
• Track KPIs, evaluate impact, and prioritize initiatives based on measurable business outcomes.
• Identify account growth opportunities and contribute to commercially sound recommendations.
• Establish feedback loops and continuously iterate on AI systems and operational processes.

Nice to Have

• Custom agent skills and harnesses
• Agent orchestration
• MCP/API integrations
• Agent context and memory design
• AI evaluations and feedback loops
• Custom Agent Skills
• Agent Harnesses
• MCP
• API Integrations
• Agent Context Design
• Agent Memory Design
• AI Evaluations
• Feedback Loops

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.

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.

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.

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..

What We're Looking For

• 4+ years in SEO with measurable wins you can walk us through
• Strong technical SEO fundamentals: site architecture, indexing, structured data, Core Web Vitals
• Experience with programmatic SEO or content at scale
• Real AI-search work you can show us: content that earned citations, experiments you ran, visibility you moved
• Fluent with the standard stack: Semrush or Ahrefs, Search Console, GA4 or Amplitude, WordPress

• Ownership-driven: you treat the channel like it's your business
• Experimental: AI search has no playbook yet, and that excites you
• Pragmatic with data: you ship, measure, and iterate
• Strong communicator who can explain what's working and why
• Don't tick every box? If the core skills fit and you've done real work in this space, apply anyway. We care more about what you've shipped than a perfect checklist.

What You'll Do

• Partner closely with growth and engineering to ship fast
• Use AI tools and agents daily. We build with them, and expect you to as well
• Bring the outside in: what's changing in search, and what we should do about it

Nice to Have

• B2B SaaS background, ideally data products or APIs
• Digital PR and link-earning experience
• Basic HTML/CSS and enough technical comfort to work directly with engineers
• Experience building workflows with AI tools and agents

What You Get

• A running start: 150k+ monthly visits, a live programmatic engine, and free tools already earning links
• A data moat: proprietary creator data means you can publish studies and pages competitors simply can't
• Full channel ownership: your strategy, your roadmap, your results
• The frontier of search: own AI/LLM visibility at a company whose product is built for the AI era
• An AI-forward team: modern tools and workflows are the default here
• Flexible remote setup built around trust and autonomy
• Fast growth opportunities inside a scaling startup

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.

Build something people love

Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.

We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.

About the team

The AI Systems team is focused on building Wealthsimple's first-party AI tools and platforms. We design, develop, and operate the systems that bring AI capabilities directly into the hands of our teams and clients - from intelligent assistants and workflow automation to internal productivity tools powered by large language models.

We're looking for software developers who are excited about building production-grade AI systems end-to-end: from frontend interfaces to backend services, infrastructure to deployment. This isn't a research role - it's a hands-on engineering role where you'll ship real products, collaborate with stakeholders across the company, and continuously evolve our AI platform as the technology and our needs grow.

In this role, you'll have the opportunity to:

• Design, build, and operate first-party AI tools and platforms that serve internal teams and Wealthsimple clients.

• Develop full-stack features across React frontends and Golang backend services, delivering complete, production-ready systems.

• Work closely with stakeholders across product, engineering, operations, and business teams to identify opportunities for AI-driven features and translate them into working software.

• Build and maintain containerized microservices, ensuring our AI platforms are reliable, scalable, and easy to deploy.

• Integrate large language models and other AI capabilities into our tools through well-designed APIs and service layers.

• Contribute to platform architecture decisions, helping shape how AI systems are built and operated at Wealthsimple.

• Iterate quickly on new features and prototypes, balancing speed of delivery with long-term maintainability.

• Establish patterns and best practices for AI system development that other teams can adopt.

Our technologies:

• React for frontend development

• Golang for backend services

• Container-based architecture (Docker, Kubernetes)

• AWS infrastructure

• PostgreSQL and Redis for data persistence and caching

• LLM APIs and AI/ML tooling

• Datadog, Sentry, and Mixpanel for monitoring and observability

• AI-assisted development workflow

What you bring:

• Experience building and shipping production software as a full-stack or backend-focused developer.

• Strong proficiency in Golang and React, or demonstrated ability to ramp quickly on both.

• Hands-on experience with containerized architectures (Docker, Kubernetes) and cloud-native deployment patterns.

• Interest in or experience with AI/ML systems, LLM integrations, or building AI-powered products.

• Ability to work across the full stack - from crafting user interfaces to designing APIs and backend services.

• A product-oriented mindset: you care about the end-user experience and work with stakeholders to deliver features that solve real problems.

• Clear communication with both technical and non-technical teams.

• Comfort operating in a fast-moving environment where priorities and technology evolve quickly.

Nice-to-have's:

• Experience building developer tools, internal platforms, or productivity software.

• Familiarity with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or retrieval-augmented generation (RAG) patterns.

• Background in building event-driven or streaming architectures.

• Experience with CI/CD pipelines and infrastructure-as-code.

• Background in financial services or regulated industries.

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Please mention the word TENACIOUSLY and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Location: South Korea | Remote
Engagement: Freelance / Independent Contractor | Project-Based | Part-Time

About the Project

We are looking for English-speaking Image Quality Evaluators based in South Korea to support AI training and evaluation projects.

You will review images and assess their quality according to project guidelines, helping improve the accuracy and performance of AI systems.

You do not need to be Korean. We welcome applicants of any nationality who are currently living in South Korea, have lived there for several years, and are highly familiar with Korean culture, everyday life, and local context.

What You'll Do

• Evaluate images based on quality standards and project guidelines.
• Identify issues such as blur, poor lighting, noise, exposure, compression, and framing.
• Evaluate visual content with awareness of South Korean cultural and local context.
• Accurately describe and interpret images in English.
• Maintain high accuracy, consistency, and productivity.
• Flag unusual cases or data-quality issues to the project team.

Requirements

• Currently residing in South Korea.
• Legally authorized to work as an independent contractor in South Korea.
• Have a South Korean bank account in your own name to receive payments.
• Have lived in South Korea for several years and have strong familiarity with Korean culture and local context.
• English: C1 level or above.
• Strong attention to detail and ability to follow detailed guidelines.
• Laptop/desktop and reliable internet connection.
• Previous experience in AI, data annotation, transcription, QA, or content evaluation is a plus, but not required.

Nationality is not a requirement. Local knowledge and lived experience in South Korea are.

Please mention the word FUTURESTIC and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Please mention the word HUMOUR and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Competencias Críticas (Excluyentes)

Principales Responsabilidades

Conocimientos Deseables

Buscamos profesionales con:

• Experiencia liderando equipos de IA, Data Science o Advanced Analytics.
• Conocimiento en IA Generativa, Machine Learning, Deep Learning y modelos predictivos.
• Experiencia en arquitecturas Cloud (AWS, Azure o GCP).
• Dominio de Python y frameworks de IA (TensorFlow, PyTorch, Scikit-learn, LangChain, entre otros).
• Experiencia en gobierno de datos, MLOps y despliegue de modelos en producción.
• Capacidad para relacionarse con áreas de negocio y traducir desafíos estratégicos en soluciones tecnológicas.
• Experiencia liderando proyectos de transformación digital e innovación.

¿Cuál será tu misión?

Valoramos

• Visión estratégica para priorizar iniciativas de alto impacto.
• Liderazgo inspirador para motivar equipos multidisciplinarios.
• Orientación a resultados con métricas y seguimiento de entregables.
• Comunicación efectiva con equipos ejecutivos y técnicos, logrando alineamiento.
• Mentalidad innovadora y foco en mejora continua para iterar sobre modelos y soluciones.

Beneficios

Requerimientos del cargo

• Inglés intermedio-avanzado o avanzado (indispensable).
• Experiencia comprobada (mínimo 3 años) en desarrollo e implementación de modelos de machine learning.
• Experiencia sólida con modelos de clustering (K-means, DBSCAN, clustering jerárquico, etc.).
• Dominio en análisis de series de tiempo y métodos de pronóstico (ARIMA, Prophet, Exponential Smoothing, etc.). Inglés intermedio-avanzado o avanzado.
• Conocimiento profundo de heurísticas y algoritmos metaheurísticos.
• Experiencia en análisis exploratorio y transformación de datos complejos.
• Conocimiento de estadística aplicada y validación estadística de modelos.
• Experiencia con control de versiones (Git/GitHub) y metodologías ágiles de desarrollo.
• Capacidad de comunicar resultados técnicos complejos de forma clara a stakeholders no técnicos.

Funciones del cargo

Buscamos un ML Engineer para unirse a nuestro equipo de ciencia de datos e ingeniería de machine learning. El candidato será responsable de diseñar, desarrollar e implementar modelos de machine learning avanzados, con énfasis en modelos de clustering, análisis de series de tiempo e heurísticas complejas.

RESPONSABILIDADES

• Diseñar, desarrollar e implementar modelos de machine learning utilizando técnicas de clustering, análisis de series de tiempo y análisis heurístico.
• Realizar análisis exploratorio de datos y transformación de datos para preparar conjuntos de datos complejos.
• Evaluar y validar modelos predictivos utilizando métricas estadísticas apropiadas y metodologías de validación robustas.
• Optimizar algoritmos de machine learning para mejorar el rendimiento, escalabilidad y eficiencia computacional. Documentar metodologías, procesos y resultados de forma clara y comprehensible para diferentes audiencias técnicas.
• Colaborar con ingenieros de software y profesionales de datos para integrar modelos en sistemas productivos. Mantenerse actualizado en las tendencias, herramientas y técnicas emergentes en machine learning e inteligencia artificial.
• Realizar monitoreo continuo y mantenimiento de modelos en producción, identificando y abordando problemas de degradación.

Opcionales

• Experiencia con Deep Learning y redes neuronales (TensorFlow, Keras, PyTorch).
• Conocimiento de SQL y bases de datos relacionales para extracción y consulta de datos.
• Experiencia con herramientas de orquestación y deployment (Docker, Kubernetes, Apache Airflow).
• Familiaridad con plataformas cloud (AWS, Google Cloud, Azure) y servicios de machine learning.
• Experiencia en procesamiento de datos a gran escala (Spark, Hadoop).
• Publicaciones académicas o contribuciones a proyectos open-source en machine learning.
• Experiencia en interpretabilidad y explicabilidad de modelos (SHAP, LIME, feature importance).
• Conocimiento de prácticas MLOps y ciclo de vida completo del modelo en producción.

Condiciones

• 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..

Requerimientos del cargo

Experiencia hands-on demostrada en:

• RAG (Retrieval-Augmented Generation) - arquitectura end-to-end
• Tecnologías de IA generativa (LLMs, generative models, LLM APIs)
• Desarrollo de AI agents y sistemas agenticos
• 5+ años de experiencia en ingeniería de software con especialización en IA/ML
• Dominio de Python y/o TypeScript/JavaScript
• Experiencia con vector databases (Pinecone, Weaviate, Chroma, etc.)
• Conocimiento de frameworks como LangChain, LangGraph, o equivalentes
• Experiencia en deployment y operacionalización de modelos en producción
• Inglés intermedio-avanzado o avanzado (documentación, código, comunicación internacional)

Funciones del cargo

Buscamos un AI Engineer para laborar en el desarrollo e implementación de soluciones de IA avanzadas. Te encargarás de diseñar, desarrollar e integrar sistemas inteligentes basados en tecnologías generativas, LLMs y arquitecturas modernas de IA.

Este es un rol hands-on donde trabajarás directamente con tecnologías de punta, desde RAG (Retrieval-Augmented Generation) hasta AI agents complejos, en un entorno de producción a escala empresarial, cumpliendo con las siguientes funciones:

Diseñar e implementar sistemas RAG end-to-end (embeddings, vector databases, chunking, reranking, evaluación de calidad)

Desarrollar y orquestar AI agents con capacidades avanzadas de razonamiento y herramientas integradas

Integrar modelos generativos (GPT, Claude, etc.) en aplicaciones y plataformas de producción

Arquitectura y diseño de sistemas escalables para soluciones de IA

Optimizar performance, confiabilidad y seguridad de sistemas IA en producción

Evaluar y mejorar la calidad de respuestas y outputs de LLMs

Colaborar con equipos de producto, data y operaciones para alineación técnica

Condiciones

• 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..

Requisitos Indispensables

• Nivel de inglés intermedio-avanzado o avanzado (indispensable)
• 4+ años construyendo software, con 2+ años llevando a producción sistemas basados en LLM
• Python sólido — async, streaming, salidas estructuradas, observabilidad — además de comodidad con infraestructura en la nube (AWS preferido)
• Experiencia práctica con patrones agénticos: uso de herramientas, bucles de planificación, gestión de estado, ejecución de largo alcance
• Buenos instintos de evaluación: capaz de diseñar una evaluación que realmente mida lo que importa, y sabe distinguir cuándo un resultado es señal o ruido
• Cómodo leyendo artículos y traduciendo ideas en código funcional; no necesita un doctorado para hacerlo, pero sí necesita la curiosidad
• Trayectoria comprobada de llevar sistemas de prototipo a producción — se responsabiliza de la confiabilidad, la latencia y el costo, además de la calidad

  Señales que Buscamos

• Igualmente alérgico(a) a "lanzar sin medir" y a "medir para siempre sin lanzar".
• Investigador(a) pragmático(a) / ingeniero(a) curioso(a) — elige el modo correcto según el problema.
• Opiniones firmes sobre los modos de fallo de los agentes a nivel de sistema, no solo a nivel del modelo.
• Se comunica con claridad ante distintas audiencias — puede explicar un resultado de evaluación complicado a un PM y una arquitectura de memoria a un investigador.
• Eleva el estándar del equipo tanto en rigor como en velocidad tiene que ser una buena traducción es aes correcta.

Qué harás

• Construir sistemas agénticos (agentic systems) de nivel de producción mientras te mantienes cerca de la frontera de la investigación — el puesto vive en el punto de encuentro entre "lánzalo" y "¿es este el enfoque correcto?"
• Prototipar patrones novedosos de agentes (self-evolving loops, orquestación multiagente, arquitecturas de memoria), validarlos con evaluaciones rigurosas (evals), y luego consolidarlos en servicios desplegados
• Ser responsable de la infraestructura de evaluación de principio a fin: diseñar golden datasets, construir harnesses de LLM-as-judge, ejecutar experimentos y usar los resultados para guiar decisiones técnicas
• Leer artículos recientes y decidir qué vale la pena probar — ejecutar ablaciones rápidas, descartar ideas que no funcionan, y llevar a producción las que sí
• Colaborar con ingenieros de plataforma en despliegue, latencia y costo
• Contribuir en toda la pila tecnológica: diseño de agentes, recuperación/clasificación (retrieval/ranking), ingeniería de prompts y contexto, integración de herramientas (Claude Agent SDK, MCP, Bedrock)

Deseable

• Experiencia con Claude Agent SDK, MCP, o marcos de agentes similares
• Familiaridad con la metodología de LLM-como-juez, corrección de sesgo estadístico, o plataformas de evaluación (LangFuse, Braintrust, AgentCore)
• Experiencia en recuperación/clasificación (embeddings, búsqueda híbrida, rerankers, resaltado semántico)
• Exposición a sistemas auto-mejorables, escalado de cómputo en tiempo de inferencia (test-time compute), o investigación agéntica relacionada.
• Experiencia en el dominio de GRC, tecnología legal, o software empresarial regulado
• Contribuciones de código abierto, publicaciones en blogs, o resultados de investigación aplicada

Beneficios

• 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..

Requerimientos del cargo

✓ Python en nivel producción. Posesión clara de la orquestación y lógica de negocio, no scripting

✓ Experiencia con frameworks multi-agente / LLM: Manos en Pydantic AI, LangChain, CrewAI, o similar (definiciones estructuradas de agentes, orquestación de workflows, tool-calling)

✓ RAG implementado en la práctica: Pipelines de retrieval, embeddings, búsqueda vectorial, estrategias de chunking (bonus si es code-aware)

✓ Fluidez en stack Azure-nativo: Azure SQL, Cosmos DB, compute en Azure — familiaridad real, no teórica

✓ Habilidades de integración API: El backend se comunica limpiamente con frontend .NET/React; capaz de trabajar autonomía en esa frontera

✓ Inglés hablado y escrito sólido: Exposición client-facing probable; stakeholders en USA

✓ Superposición horaria con US Eastern: Standups y touchpoints cliente requieren alignment

Funciones del cargo

• Diseñar y mantener la orquestación multi-agente: Implementar flujos de decisión complejos entre agentes LLM usando frameworks como Pydantic AI, LangChain o CrewAI
• Gestionar pipelines RAG: Desarrollar estrategias de retrieval eficientes, configurar búsqueda vectorial y optimizar chunking para consultas sobre código
• Integrar con Azure: Trabajar nativamente con Azure SQL, Cosmos DB y compute services — sin abstracciones que disfracen la plataforma
• APIs limpias: Exponer funcionalidad de manera clara y sin fricción hacia el frontend
• Observabilidad y debugging: Instrumentar decisiones de agentes, rastrear fallos, iterar rápidamente basándote en telemetría real

Opcionales

• Observabilidad AI: Pydantic Logfire u similar (trazabilidad de decisiones, monitoreo de éxito/fallo)
• Herramientas dev asistidas por IA: Cursor o similar (el cliente usa esto; velocidad esperada refleja eso)
• Background en consultoría / delivery: Entornos ambiguos y fail-fast; mejor ramp que tickets fully-spec'd
• Exposición multi-cloud: AWS (Bedrock, Lambda, análisis de documentos) — no necesario aquí, pero suma para flexibilidad en otros proyectos
• Dominio industrial: Experiencia en manufactura, construcción, o ERP-related — BlueScope tiene lógica real (componentes de acero custom, flujos de pre-detallado); acelera ramp
• Static analysis / parsing de codebase: Directo al núcleo de Chiron (extracción de workflows desde código fuente)

Condiciones

• 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..

Requisitos técnicos

• Orquestación de agentes.
• Tool/function calling.
• Memoria y manejo de estado.
• Contexto multi-turno.
• Flujos agentic y determinísticos.

• LangChain / LangGraph.
• Semantic Kernel.
• CrewAI.
• O tecnologías equivalentes.

Principales responsabilidades

Conocimientos deseables

Qualifications and requirements

• • 4+ años en ingeniería de software, con 1-2+ años construyendo soluciones de IA generativa/agentes en producción (no solo POCs).
  • Experiencia práctica con una plataforma de agentes empresarial: Microsoft Azure AI Foundry, AWS Bedrock Agents, Google Vertex AI Agent Builder, o frameworks como LangGraph / AutoGen.
  • Conocimiento sólido de RAG: bases vectoriales, embeddings, chunking, integración con fuentes de datos empresariales tipo Databricks/Unity Catalog.
  • Experiencia con MCP (Model Context Protocol) o arquitecturas de tool-calling / function calling en LLMs.
  • Experiencia diseñando guardrails, validación de entrada/salida y patrones de seguridad para sistemas de IA (content safety, prompt injection, manejo de PII).
  • Manejo de arquitecturas orientadas a eventos (Kafka o similar) y patrones de idempotencia.
  • Experiencia con APIs REST, gestión de APIs (Apigee, Kong o similar) y principios de zero-trust.
  • Cloud: experiencia sólida en Azure (preferente) o AWS/GCP equivalente.
  • Español e inglés (el equipo opera en español; documentación técnica frecuentemente en inglés).

Job functions

Diseñar, construir, desplegar y evolucionar soluciones de IA generativa y agentes empresariales sobre Azure AI / Microsoft Foundry, integradas con la plataforma de datos corporativa, para habilitar casos de uso de negocio con trazabilidad, seguridad, escalabilidad y alto impacto operativo y comercial.

Responsabilidades clave del puesto

• Diseñar soluciones de IA generativa, asistentes y agentes empresariales usando Azure AI, Microsoft Foundry y servicios relacionados.
• Definir arquitectura de referencia para RAG, agentes, tools, evaluación, seguridad y observabilidad.
• Construir APIs, microservicios y componentes backend en Python para integrar modelos, herramientas y sistemas corporativos.
• Conectar soluciones de IA con Databricks, Unity Catalog, ADLS Gen2, Azure AI Search, Power Automate, Copilot Studio, Teams, canales web y otros sistemas internos.
• Establecer mecanismos de grounding, control de acceso, versionado, pruebas, evaluación y monitoreo de respuestas.
• Colaborar con Data Engineering, BI, Arquitectura, Seguridad, Producto y áreas de negocio para llevar los casos de uso a producción.

Alineación con la Arquitectura Agents AI:

• Desarrollar el blueprint técnico de la arquitectura propuesta, definiendo componentes, patrones, flujos, ambientes y criterios de despliegue.
• Implementar el patrón base de conocimiento empresarial conectando Databricks, ADLS Gen2 y Foundry IQ / capacidades de búsqueda y grounding.
• Configurar y desarrollar agentes o copilots sobre Copilot Studio / Foundry, con invocación de acciones a través de Power Automate o servicios backend.
• Definir estándares de observabilidad, evaluación, seguridad y gobierno para la operación de soluciones de IA.

Impacto esperado para la organización

• Crear una capacidad interna escalable para asistentes, agentes y automatizaciones inteligentes.
• Incrementar productividad, velocidad de atención y capacidad de decisión en procesos clave.

Desirable skills

• Experiencia previa en gobierno de IA (NIST AI RMF, ISO 42001).
• Integración de agentes con Microsoft Teams (Bot Framework / Teams SDK).
• FinOps aplicado a IA (costo por invocación, tracking de tokens).
• Experiencia en industrias de consumo masivo (CPG/FMCG) o entornos corporativos multi-unidad de negocio.

Conditions

• Ambiente de trabajo colaborativo y dinámico.
• Desarrollo profesional continuo y oportunidades de crecimiento.
• Flexibilidad de horarios y equilibrio entre vida laboral y personal.

Experience and Skills

• Senior-level experience building and testing AI agent workflows, including approximately 5 or more years of relevant software engineering experience.
• Hands-on experience with Claude, Claude skills, Claude artifacts, and MCP tools, including tool routing, error handling, and evaluation.
• Experience integrating with Salesforce or a comparable CRM, including safe reads and writes across related records.
• Ability to build polished mobile interfaces with React, HTML, and CSS.
• Experience designing understandable, recoverable error states and reliable transitions between voice and visual interfaces.
• Ability to assess implementation cost and technical tradeoffs and communicate recommendations clearly to leadership.
• Hands-on experience with Model Context Protocol (MCP), AI Evaluation, CRM Integration, Mobile UI, Voice Interfaces, Field Service.

Skills

• Claude
• Claude Skills
• Claude Artifacts
• Model Context Protocol (MCP)
• AI Agent Workflows
• Tool Routing
• AI Evaluation
• Error Handling
• CRM Integration
• React
• HTML
• CSS
• Mobile UI
• Voice Interfaces
• Salesforce
• Claude Plugins

Key Responsibilities

• Improve existing Claude-based prototypes and make a visit debrief workflow reliable on mobile devices.
• Build a clear mobile demo flow with minimal taps, visible context, and understandable, recoverable errors.
• Map spoken intent to the correct visit, Salesforce records, task, and owner.
• Verify Salesforce writes and ensure related records are updated safely.
• Prepare and reset synthetic data so the same demonstration can be run repeatedly.
• Create reusable UI patterns and workflow components for related scenarios.
• Assess voice interaction quality and transitions between interfaces.
• Document known limitations and recommend the next iteration.
• Enable users to select a visit or artifact, complete a phone-based debrief, inspect the Salesforce result, reset the data, and repeat the flow.

Nice to Have

• Salesforce Life Sciences Cloud
• Salesforce Field Service
• Commercial Healthcare Workflows
• Salesforce MCP

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.

Qualifications and requirements

• Sólida experiencia en desarrollo con Python
• Experiencia práctica con Qwen o modelos de lenguaje a gran escala (LLM) de código abierto similares
• Experiencia en creación y/o ajuste de modelos LLM y aplicaciones de IA generativa
• Sólidas habilidades de ingeniería de software e integración
• Experiencia en todo el ciclo de vida del desarrollo: desde fase experimental hasta producción
• Inglés intermedio-avanzado o avanzado

Job functions

Se requiere Ingeniero de IA/ML con experiencia práctica en inteligencia artificial generativa y aprendizaje automático.

En este rol, trabajarás con modelos de lenguaje grande (LLM) de código abierto, crearás capacidades innovadoras de IA generativa e integrarás estas tecnologías en herramientas y aplicaciones existentes. Esta es una posición única que combina investigación práctica, desarrollo de software e innovación.

Responsabilidades principales

• Desarrollo de aplicaciones LLM: Crear y desarrollar aplicaciones basadas en modelos de lenguaje grande (LLM) y funciones de IA generativa
• Trabajo práctico con modelos: Trabajar directamente con modelos de código abierto como Qwen, incluyendo su ajuste, personalización y optimización
• Herramientas internas: Desarrollar herramientas y capacidades internas alrededor de LLM para mejorar la productividad del equipo
• Integración en sistemas existentes: Integrar capacidades de IA/ML en aplicaciones y sistemas en producción, no solo en desarrollos greenfield
• Colaboración multidisciplinaria: Trabajar con equipos de ciencia de datos e ingeniería para llevar ideas desde la fase experimental hasta producción
• Aceleración del desarrollo: Utilizar herramientas modernas como Claude Code para acelerar el ciclo de desarrollo y entrega
• Ciclo de vida completo: Participar en todas las fases, desde experimentación hasta despliegue en producción

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..

Who Are Heidi

Heidi is on a mission to half the time it takes to deliver world class care.

We believe that in 2050 every clinician will practice with AI systems that free them from administrative burden and increase the quality and accessibility of care to patients across the world.

Today, we have a suite of tools that modernize documentation. Tomorrow, we’ll equip every healthcare org with AI assistants that undo the tediums of clinical & non clinical work.

Our team is a potent mosaic of sage, accomplished leaders & brilliant polymaths hungry to prove it. We achieve in 6 months what it takes our competitors 4 years to do.

We’ve recently secured Series B funding from lead US and UK investors to supercharge the incomprehensible growth we’re seeing.

We’re scaling quickly, and we’re looking for exceptional people who want to help shape the future of healthcare.

Why Submit an Expression of Interest

If you don’t see a current opening that matches your background or you’re simply excited about what we’re building, we’d love to hear from you.

Submitting an Expression of Interest means joining our Heidi Talent Community. It’s a way to introduce yourself and stay connected as we continue to scale. When new opportunities align with your skills and interests, our Talent team will reach out.

Who We’re Looking For

• Are passionate about improving healthcare through technology
• Excited to work for a mission-driven organization
• Thrive in fast-paced environments
• Value collaboration, creativity, and ownership
• Bring curiosity, empathy, and a growth mindset
  
  

What You Can Expect

• Your profile will be reviewed by our Talent team
• If there’s a potential fit with current or upcoming roles, we’ll reach out to chat
• You’ll remain in our talent community, and we’ll keep you in the loop as Heidi continues to grow.
  
  

We encourage you to check back on our careers page for new openings regularly.

Note on inclusivity

Heidi celebrates diversity and is committed to creating an inclusive environment for all team members. We encourage people from all backgrounds, identities, and experiences to express interest.

Please mention the word SPIRITED and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Job Title: Voice Actors Prompt Writer

Job Type: Contractor

Location: Remote

Job Summary

Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field.

Key Responsibilities

• Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.
• Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.
• Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.
• Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.
• Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.
• Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.
• Contribute to a creative, communicative, and results-driven remote work culture.
  
  

Required Skills And Qualifications

• Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.
• Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.
• Outstanding writing and editing skills with sharp attention to detail and narrative flow.
• Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.
• Demonstrated initiative and adaptability in fast-paced, iterative projects.
• Passion for AI technologies and their applications in natural language and voice.
• Ability to synthesize feedback to continuously improve script and prompt quality.
  
  

Preferred Qualifications

• Background in linguistics, creative writing, journalism, or related fields.
• Experience working with AI or machine learning teams in content development.
• Familiarity with diverse voice acting genres or multilingual scripting.

Please mention the word SUPERIORITY and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Job Title: Voice Actors Prompt Writer

Job Type: Contractor

Location: Remote

Job Summary

Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field.

Key Responsibilities

• Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.
• Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.
• Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.
• Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.
• Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.
• Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.
• Contribute to a creative, communicative, and results-driven remote work culture.
  
  

Required Skills And Qualifications

• Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.
• Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.
• Outstanding writing and editing skills with sharp attention to detail and narrative flow.
• Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.
• Demonstrated initiative and adaptability in fast-paced, iterative projects.
• Passion for AI technologies and their applications in natural language and voice.
• Ability to synthesize feedback to continuously improve script and prompt quality.
  
  

Preferred Qualifications

• Background in linguistics, creative writing, journalism, or related fields.
• Experience working with AI or machine learning teams in content development.
• Familiarity with diverse voice acting genres or multilingual scripting.

Please mention the word LIBERATION and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Job Title: Voice Actors Prompt Writer

Job Type: Contractor

Location: Remote

Job Summary

Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field.

Key Responsibilities

• Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.
• Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.
• Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.
• Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.
• Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.
• Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.
• Contribute to a creative, communicative, and results-driven remote work culture.
  
  

Required Skills And Qualifications

• Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.
• Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.
• Outstanding writing and editing skills with sharp attention to detail and narrative flow.
• Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.
• Demonstrated initiative and adaptability in fast-paced, iterative projects.
• Passion for AI technologies and their applications in natural language and voice.
• Ability to synthesize feedback to continuously improve script and prompt quality.
  
  

Preferred Qualifications

• Background in linguistics, creative writing, journalism, or related fields.
• Experience working with AI or machine learning teams in content development.
• Familiarity with diverse voice acting genres or multilingual scripting.

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COMPANY SUMMARY
Sorcero's medical AI platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.sorcero.com.

WHY JOIN SORCERO?
Sorcero transforms decision-making in life sciences by empowering stakeholders with insights to improve patient outcomes. By joining our team, you will play a critical role in our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. Sorcero provides a supportive community to bring out the best in each of us through flexible working arrangements and meaningful interactions with global teammates.

Our employees are driven by these common values:

• Pursuit of excellence and mastery of their craft
• Humility in defeat and in success
• Kindness and empathy towards others
• Desire to create large-scale, positive change

Our cutting-edge solutions empower the world's leading scientists, researchers, and subject matter experts to drive groundbreaking advancements. If you're passionate about innovation and eager to tackle complex challenges, we invite you to join our team. Together, we'll shape the future of life sciences.

THE MEDICAL AFFAIRS SOLUTIONS MANAGER

We are seeking an experienced Medical Affairs Subject Matter Expert with Medical Operations experience  to join Sorcero. The ideal candidate will bridge the gap between Medical Affairs Strategic needs and cutting-edge AI technologies, driving innovation and value creation for our pharmaceutical clients. With a strong desire to revolutionize how the Pharma and Biotech industries utilize multi-source intelligence and drive evidence based strategic decisio

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Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training.

We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one.

About the Role

The Curriculum Developer will play a key role in building the content for Correlation One's new Aerospace Technician program, which prepares working adults for skilled technician roles in commercial aerospace manufacturing. This person will be responsible for designing and writing lessons, demonstrations, and hands-on exercises — delivered virtually and supplemented by shipped practice kits — that build foundational aerospace manufacturing skills including engineering drawing interpretation, precision measurement, materials handling, introductory soldering, and aerospace safety standards. A successful curriculum developer will have hands-on aerospace or advanced manufacturing technician experience and will work closely with Correlation One's Learning Experience Design team and employer subject-matter experts to ensure curriculum aligns with validated skill requirements. The ideal candidate is an excellent educator with experience training adult learners of varied (including beginner) backgrounds.

Key Responsibilities

Review and advise on proposed curriculum for course to ensure the correct concepts are included
Develop lessons, demonstrations, and hands-on exercises (including kit-based virtual labs) that cover foundational skills for aerospace technicians.
Iterate on curriculum based on feedback from employer SMEs, ensuring content stays aligned with current aerospace industry standards, tooling, and certification pathways (e.g., OSHA 10, GD&T, IPC J-STD-001 prep)
Collaborate with other curriculum developers and Peer Review lessons, le

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Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.

We are in the middle of a real transformation. All 1,000 people are on AI tools. We are rebuilding how work gets done, not with a slide deck and a tips-for-prompting PDF, but with a full infrastructure: one platform, one skills library, one governance model, one feedback loop. Recognized by Notion as a Level 4 AI company. Ranked #2 independent media agency globally by Comvergence. Named by Adweek as one of the fastest-growing agencies multiple years running.

If you don't see a role that fits your exact skill set right now, register your interest here. We are always looking for builders.

Who You Are:

• You build things. You do not wait for permission, process, or a perfect brief to get started.
• You are AI-enabled. You use it to do more of the work that actually matters, not to avoid the work altogether.
• You understand the difference between talking about it and actually doing it, and you are relentless about automating the latter so you can spend more time on the former.
• You take real ownership. You care about the outcome, not just the output.
• You want to work somewhere that runs experiments the way scientists do, not the way agencies usually do.
  
  
  

What We Offer:

• A company that is genuinely rebuilding how knowledge work gets done, and doing it at scale with 1,000 people, real clients, and real infrastructure
• Access to proprietary AI tools, a growing skills library, and a methodology that has been refined over a decade of logged experiments
• The chance to work on problems that matter: revenue, growth, measurement, and the media decisions that drive all three
• A culture built on Test and Earn, where your ideas get tested, not talked about
  
  
  

We want to hear from people who are already building. Apply with whatever best shows us how you think and what you make.

What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure this is the right fit on both sides. If your background is a strong match for an open or upcoming role, someone from our team will reach out to start a conversation. From there, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Stay tuned for upcoming roles, and be part of our ever-evolving story!

What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.

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About the company

At Covera, we're committed to ensuring high-quality healthcare is more than just a promise. That's why we're leading the way in the emerging science of quality, and connecting providers and payers in their shared quest to improve patient outcomes and care quality. By tackling this challenge, we have the ability to impact millions of lives by raising the standard of care nationwide.

Our initial focus is radiology, where an early and accurate diagnosis has a profound impact on the rest of a patient's care journey. Through our work, which uses clinically-validated science-based tools, we're helping doctors enhance their care, ensuring patients get the right diagnosis, and enabling the healthcare system to support quality improvement at scale.

Through our clinical intelligence platform, we have launched programs that help people access the most effective care and provide doctors with AI-powered quality insights and tools to enhance their care. Today, Covera is partnered with leading employers, payers and healthcare organizations across the US, including Walmart and Microsoft. And, with a pipeline representing over 25% of insured Americans, we are in the early stages of improving care quality for all patients across the globe.

About the role

As Vice President of Population Health, you will lead and scale Covera’s Protect Seniors program, a core pillar of the company’s AI-driven quality platform. This role sits at the intersection of Customer Success and Operations - owning the performance and growth of a proven population health model while serving as the primary relationship owner for our health plan and PCP partners. You will partner closely with the Executive Leadership Team to drive strategy, execution, and outcomes, operating at the center of Covera’s ecosystem across payers, provid

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About Us

COMPANY SHARES | 10% PROFIT SCHEME FOR YOU AND YOUR TEAM | 4-WEEK SABBATICAL EVERY 5 YEARS | STAFF DISCOUNT | ADDITIONAL PAY FOR EACH BEER EXAM PASSED

We love great craft beer. We want everyone to be as passionate about it as we are - and our bars are at the heart of that mission. You’ll help us deliver an amazing beer and customer experience every shift so, because we expect great things from you, we give great things back.

BEER TRAINING | We love beer and we want you to love beer too, so we’ll support you through the internationally-recognised Cicerone qualifications, so you can love it almost as much as we do. We’ll also pay you more per hour for each level you pass. You also get to try loads of beer…tough job right.

STAFF DISCOUNT | 25% off in bars, 30% off online and 50% off BrewDog Merch to fill up your fridge and your wardrobe* (don’t put your hoody in the fridge though)

4-WEEK SABBATICAL| After every 5 years here you will receive an additional 4 weeks off to spend it doing whatever you want.

AND A LOT MORE | Okay, deep breath…., additional holiday days per year, pawternity leave, DE+I and crew forum groups and a “staffy” crew beer at the end of every shift.

We’re focused on making sure that we, and future generations, have a planet to brew great beer on. Our industry leading techniques help us create and deliver unique beer whilst doing our bit (and others’) for the environment.

About The Role

BREWDOG ARE ON THE HUNT FOR A KEYHOLDER!

We at BrewDog have one mission. We want to make other people as passionate about great craft beer as we are. Our bars are at the forefront of that mission, delivering amazing beer & customer service at all times. And now, we’re looking for a Keyholder to join the team.

In this role you’ll be assist and support the management team in the running of shifts, and be involved in various back of house duties alongside front of house tasks. A big part of your job will be supporting, training and guiding our amazing staff to be even more incredible in their roles - making the bar a destination people want to come to.

You’ll be led by an experienced management team alongside a crew of passionate & confident individuals, made up of team on the floor & behind the bar.

About You

THE BREWDOG CHARTER

IT'S ALL ABOUT BEER. NO COMPROMISE We make every BrewDog experience the best it can be.

CREATIVITY IS OUR UNFAIR ADVANTAGE New beers. New ideas. New standards.

WE DO MORE IN A DAY THAN OTHERS DO IN A WEEK You get more done when you do it together.

WE LISTEN. WE LEARN No egos, just honesty and transparency.

WITHOUT US WE ARE NOTHING We play to win, and we have fun while we're doing it.

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What’s Unique About You Is What Makes Us Better! Diversity is our strength and competitive advantage. Bring your flavor to the Papa John's team today!

Do you want to have fun, be eligible for numerous career advancement opportunities and discounts on pizza? What about a company that offers many benefits as well as free college tuition? If so, come join our pizza team! We're hiring Delivery Drivers TODAY at an hourly rate plus mileage and tips, which are paid out at the end of each shift. You can work either full time or part time – whatever fits your schedule.

Want to know more about those perks? Take advantage of our Dough & Degrees program - we'll pay 100% of tuition for undergraduate and graduate online degree programs through Purdue University Global among others. Some of the other things we offer: Affordable health insurance options, flexible hours, pizza discounts (of course) and loads of corporate discounts on things like cell phone service, car maintenance & event tickets.

Papa Johns Offers

• Benefits- Medical, Dental, Paid Vacation, and 401(k)
• Benefits vary based off hours worked and position
• Paid Weekly
• Dough & Degrees - 100% Paid Online Tuition at Purdue University Global among other Online Universities
• Flexible Hours
• 50% off Discounts
• Direct Deposit and Debit (Pay) Cards
• On-going Training Programs
  

Critical Ingredients

You need to be at least 18 years old with a car, insurance and acceptable driving record. Apply now and one of our recruiters will give you a quick call to get you started!

Everybody loves pizza, which means they also love the people who are behind the scenes working to deliver it. This is complex and challenging work – but let’s face it – it’s also pizza! If you want a fulfilling career with a company that’s always moving forward, we’re the right place.

Papa John's is a Federal Contract employer who participates in E-Verify to confirm employment eligibility for each new team member. For more information please view the following PDFs: E-Verify Poster (English) - Right to Work Poster (English) - E-Verify Poster (Spanish) - Right to Work Poster (Spanish) Papa John's is an Affirmative Action and Equal Opportunity Employer. For more information please click on the following PDF. See terms & conditions for site use.

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Project Overview
We are sourcing independent Business Owners across the food, lodging, service, and shopping sectors to provide their practical expertise for an AI benchmark evaluation and product feedback project. As AI models and digital commerce platforms increasingly integrate local business data, search mapping workflows, and automated merchant tools, their accuracy relies entirely on authentic, real-world verification. The objective of this project is to autonomously evaluate merchant-facing features, audit local search representation, and deliver structured feedback to refine AI-driven commerce systems.

Project Deliverables & Scope
Operate autonomously to evaluate digital merchant tools and provide structured business data. Expected deliverables include:

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About Us

Milskil is in its 24th year of providing high end training and support services to the ADF. We provide peak operational training solutions into the most challenging domains, including the AWC, F/A-18F, EA-18G, and F-35A programs. We pioneered high-end operational service provision as the Qualified, Experienced and Respected partner of choice to the Air Force, supporting operations across Australia and internationally. 

With our dedicated corporate, support, project and operations management teams headquartered at Williamtown, and proven track record over two decades, your career is in safe hands at Milskil.

Your Opportunity 

We're always on the lookout for the best of the best. Think you might be a good fit for Milskil?

Get in contact today!

 

Why join us?

• Work with like-minded professionals: Milskil is an Australian company built by operators, for operators. Work in a positive environment with a team, who like you, always expect the best standards from one another. 
• Do work that matters: Milskil is different. Our team works in leading-edge environments, building the next generation of military war fighters.
• Be your best: hone your hard-earned skills that you have built throughout your military career. Support your mates, by joining a team that is fully integrated with the ADF. We support those who still serve, to help them be successful. 
• Be rewarded: We are proud of looking after our employees. We recognise our team's contribution with fair pay and competitive benefits. Our professional support organisation is dedicated to ensuring your successful transition to our team and a fulfilling, rewarding career with Milskil. 

 

Desired skills & Experience

We look for team members who are:

• Qualified: Possessing the abilities, qualities and attributes to perform a particular job, or task.
• Experienced: Skilled and knowledgeable as the results of extensive active participation in an activity.
• Respected: the state of being admired, acknowledged and regarded with honour and esteem.

Get in contact today: Apply through our talent portal, or call our HR Team directly on +61 (0)2 4934 5555

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