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$$$
Tiempo completo
AI Software Automation Engineer
JavaScript
Python
Git
REST API
Are you ready for the Most Impactful Work of Your Life?
Signant Health is a global evidence generation company. We’re helping our customers digitally enable their clinical trial programs, meeting patients where they are, driving change through technology and innovations, and reimagining the path to proof.
Where do you fit in?
Signant Health is seeking an AI Pathway Engineer to manage, optimize, and expand our SHAI (AI Helpdesk Assistant) platform powered by Bland AI. SHAI operates across voice, chat, and email channels, handling thousands of clinical trial support inquiries monthly through integrations with Genesys contact center, ServiceNow ITSM, and production platforms like ID Portal. This role combines conversational AI design, API integration expertise, and automation engineering to ensure SHAI delivers accurate, efficient customer support while continuously improving through data-driven optimization.
This job is exclusive to getonbrd.com.
Job functions
- Design, build and maintain SHAI conversational pathways in the Bland AI platform across voice, chat and email.
- Implement multi‑language logic and localization quality for 15+ languages.
- Continuously optimize conversation flows using analytics, A/B testing and user feedback.
- Implement complex conditional logic (multi‑step authentication, account unlocks, ticket creation).
- Define escalation and transfer triggers that hand off to Genesys queues for human agents.
- Curate, structure and maintain the SHAI knowledge base content.
- Version, test and validate pathway releases in sandbox before production deployment.
- Troubleshoot pathway failures, logic errors and unexpected branches; perform root‑cause analysis.
- Maintain and extend API integrations with ServiceNow (validation, study lookups, ticketing).
- Build/optimize API connections with ID Portal (account unlocks, password resets, invitation resends).
- Configure SHAI↔Genesys integrations for call transfers, queue routing and metadata handoff.
- Monitor API reliability (latency, rate limits, error rates) and manage auth (OAuth, API keys, webhooks).
- Document integrations (endpoints, payloads, retry/timeout strategies and error handling).
- Build automated QA using n8n/Make and scripts; implement synthetic testing across languages and scenarios.
- Develop transcript analytics and quality scoring using LLM pipelines; publish dashboards and reports for stakeholders.
- Research, prototype and deliver enhancements leveraging new Bland AI/LLM capabilities and internal platform needs.
Qualifications and requirements
- Strong REST API skills: JSON, OAuth, webhooks; proficient with Postman/cURL and debugging.
- Conversational AI design expertise: intents, entities, dialog policy, escalation design.
- Workflow automation with n8n/Make/Zapier; building reliable, monitored jobs.
- Scripting in Python or JavaScript for automation, ETL and QA.
- Advanced Excel/spreadsheet analysis (pivots, formulas, charts) for operational reporting.
- Dashboard/BI experience (e.g., Grafana/Tableau/Power BI) to visualize KPIs.
- Git version control and structured documentation practices.
- Data analysis of conversation logs to detect patterns, gaps and improvements.
- Rigorous problem‑solving, attention to detail and bias for action.
- Clear written and verbal communication; customer empathy and cross‑functional collaboration.
Desirable skills
- Hands‑on with Bland AI (or Voiceflow/Dialogflow) for pathway design and deployment.
- Experience using CURSOR or AI‑assisted IDEs (GitHub Copilot, Replit).
- Working knowledge of Claude or similar LLMs for transcript scoring and analysis.
- HTML/CSS/JavaScript for lightweight internal tools and dashboards.
- Deeper BI tool proficiency (Power BI, Looker) and data modeling.
- NLP concepts (sentiment, NER, semantic similarity, RAG, function calling).
- Healthcare/clinical trial or other regulated industry experience.
- Localization/translation workflows and quality evaluation for multilingual CX.
- ServiceNow and Genesys API experience and contact‑center concepts.
- Experience designing synthetic.
Gross salary
$2500 - 3000
Tiempo completo
AI Product Developer (Voice Agents & AI Automation)
JavaScript
Node.js
Automation
Back-end
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. Niuro empowers projects by providing autonomous, high-performance tech teams, specialized in partnering with top-tier U.S. companies. We offer continuous professional growth opportunities, training in technical and soft skills, and leadership development to ensure success in innovative and challenging projects. Additionally, we handle all administrative tasks, including hiring, payments, and training, allowing our teams to focus on delivering exceptional results. Our priority is to foster a collaborative environment where talent can grow and reach its full potential.
Applications: getonbrd.com.
What You’ll Be Doing
- Build and iterate on voice agent solutions for restaurants (call answering, order taking, reservations).
- Develop AI-driven product features from defined PRDs in collaboration with an internal AI lead.
- Work with LLM-based tools to accelerate development and integrate knowledge bases and automation flows.
- Prototype rapidly and continuously improve, shipping features in short cycles.
- Collaborate with a small, experimental AI product team to translate ideas into working products.
Required Skills & Experience
- 2–5 years of development experience with a strong hands-on mindset.
- Solid experience in JavaScript / Node.js.
- Strong working knowledge of GitHub.
- Experience with AI-assisted coding environments (e.g., Cursor or similar).
- Hands-on experience with AI ecosystems and using LLM APIs.
- Prompt-driven development and building AI-powered features or automations.
Nice to have: experience with n8n or similar workflow automation tools, voice agents / conversational AI projects, rapid prototyping of web apps, and multi-model orchestration.
Ideal Candidate Profile
This role is mindset-driven. We’re seeking someone who is naturally curious about new AI tools, continuously learns, moves fast, ships often, and is product-oriented. You should take ownership, work independently, and thrive in evolving, experimental environments. You’ll be comfortable building with the latest AI technologies and actively use AI tools as part of your daily workflow.
Why Join Niuro
We offer the opportunity to work on impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our remote-first environment emphasizes technical excellence, collaboration, and continuous innovation. Niuro supports a 100% remote work model, with global flexibility. 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 full-time employment. Joining Niuro means becoming part of a global community with strong administrative support, allowing you to focus on impactful work without distraction.
$$$
Tiempo completo
Arquitecto de Datos Sr. (Data & AI)
Python
Analytics
Data Analysis
NoSQL
Grupo Mariposa es una corporación multinacional de bebidas y alimentos fundada en 1885, con operaciones en más de 14 países y más de 15,000 colaboradores. Contamos con el portafolio de bebidas más grande de la región y partnerships con líderes globales como PepsiCo y AB InBev. En los últimos años nos hemos expandido globalmente y reorganizado en cuatro unidades de negocio: apex (transformación), cbc (distribución), beliv (innovación en bebidas) y bia (alimentos). Buscamos talentos para potenciar nuestra estrategia de crecimiento y llevar alegría y desarrollo a lo largo de la organización. En este rol, tendrás la oportunidad de liderar la arquitectura de datos e IA, diseñando soluciones escalables que habiliten análisis a gran escala y la operacionalización de modelos de ML/IA en entornos de producción.
This job is exclusive to getonbrd.com.
Funciones y responsabilidades
- Diseñar e implementar arquitecturas de Datos e IA híbridas y escalables (Lakehouse) para soportar ingestión masiva y cargas de trabajo de ML/IA.
- Definir y estandarizar flujos de trabajo para Data Science, asegurando un ciclo de vida de modelos (MLOps) ágil y robusto.
- Actuar como referente técnico en Databricks (Unity Catalog, Delta Lake, MLflow), garantizando buenas prácticas de código y rendimiento.
- Modelar y optimizar esquemas NoSQL para aplicaciones de alto rendimiento y baja latencia.
- Establecer políticas de gobierno de datos que cubran datasets tradicionales, feature stores y registros de modelos.
- Colaborar estrechamente con Data Engineers y Data Scientists para cerrar la brecha entre prototipado y despliegue en producción.
- Liderar iniciativas de arquitectura orientadas a IA, incluyendo patrones de inferencia batch vs. real-time y escalabilidad de modelos.
Descripción y requisitos
Buscamos un Arquitecto de Datos Senior con visión estratégica para liderar el diseño de nuestra plataforma de Datos.
Tu misión será construir cimientos que permitan no solo el análisis de datos a escala, sino también la operacionalización eficiente de modelos de Datos, Machine Learning y soluciones de IA. Debes dominar Databricks y demostrar experiencia llevando modelos a producción, gestionando arquitecturas que soporten analítica avanzada, Se valorará capacidad para definir estrategias de gobierno de datos, MLOps y colaboración transversal entre equipos.
Requerimientos:
- Más de 5 años de experiencia en Ingeniería de Datos, Arquitectura de Datos o ML Engineering.
- Dominio experto de Databricks (Unity Catalog, Delta Lake, MLflow).
- Programación avanzada en PySpark y Python para ingeniería de datos.
- Experiencia sólida en o integraciones con bases de datos (diseño de esquemas, optimización de queries y escalabilidad).
- Conocimientos en entornos Cloud (Azure, AWS o GCP).
Deseables:
- Experiencia con Feature Stores.
- Conocimiento de herramientas de orquestación (Airflow, Prefect, etc.).
- Experiencia en architecturas de IA y ML, con prácticas de MLOps (entrenamiento, versionado, despliegue y monitoreo).
- Familiaridad con despliegue de LLMs o IA Generativa.
- Certificaciones en Databricks (Data Engineer o ML Practitioner).
Perfil deseable
Se valoran certificaciones en Databricks y experiencia demostrable liderando proyectos de IA en entornos de producción. Capacidad para comunicar resultados técnicos a stakeholders no técnicos y para liderar equipos multidisciplinarios. Enfocado en resultados, con pensamiento analítico y enfoque práctico para resolver problemas complejos de datos a escala.
Beneficios
- Trabajo remoto
- Excelente ambiente para proponer e innovar tecnológicamente
- Ambiente de trabajo colaborativo y dinámico
- Desarrollo profesional y oportunidades de crecimiento
- Flexibilidad de horarios y equilibrio entre vida laboral y personal
Flexible hours
Flexible schedule and freedom for attending family needs or personal errands.
Computer provided
Grupo Mariposa provides a computer for your work.
Informal dress code
No dress code is enforced.
Gross salary
$3000 - 4000
Tiempo completo
Generative AI Engineer
Python
Virtualization
Amazon Web Services
Azure
Genesys Tecnologías de Información SpA es una empresa con 35 años de trayectoria en el mercado tecnológico, enfocada en desarrollo de software y servicios de outsourcing TI para desafíos de alto impacto. En este rol participarás en proyectos de Inteligencia Artificial Generativa, colaborando con equipos globales y clientes para convertir modelos avanzados en soluciones productivas. Formarás parte de un equipo multidisciplinario, con matriz en Santiago y operaciones en varias ciudades, orientado a la innovación y la mejora continua. El objetivo es entregar soluciones de IA responsables, escalables y alineadas a las necesidades del negocio.
El proyecto principal implica diseñar, desarrollar e integrar soluciones de IA Generativa, trabajar con modelos LLM y herramientas de MLOps, y contribuir al ciclo completo desde la investigación hasta la puesta en producción. Colaborarás con profesionales de la India y con equipos internos para garantizar entregas de alto impacto y calidad.
Opportunity published on Get on Board.
Funciones principales
- Participar en el diseño y desarrollo de soluciones de IA Generativa para casos de negocio reales.
- Trabajar con equipos multifuncionales para definir requisitos, arquitectura y plan de implementación.
- Apoyar la integración de modelos de IA en entornos productivos y optimizar su rendimiento.
- Contribuir a la adopción de MLOps, prácticas de IA responsable y seguridad de datos.
- Investigar nuevas tendencias, proponer mejoras y compartir conocimiento con el equipo.
- Colaborar con equipos de desarrollo y operaciones para entregar soluciones escalables.
Perfil y requisitos
Buscamos profesionales curiosos y orientados al aprendizaje, con base técnica sólida y motivación real por crecer en IA Generativa. No es necesario dominar todas las herramientas desde el primer día: valoramos el potencial, la curiosidad y la actitud proactiva para aprender y escalar en proyectos complejos.
Formación: Área afín a Computación, Ingeniería, IA o carreras equivalentes.
Experiencia: experiencia inicial en Python y Machine Learning (académica o laboral).
Conocimientos deseados: IA Generativa y LLMs, NLP o Deep Learning; frameworks como PyTorch o TensorFlow; bases de datos vectoriales; herramientas de frameworks de agentes IA; experiencia con nubes (Cloud) como AWS, Azure o GCP; y fundamentos de MLOps. Buena comunicación, actitud proactiva y mentalidad de crecimiento.
Se valora la voluntad de aprender, trabajar con equipos de alta experiencia y la capacidad de generar alto valor mediante soluciones creativas y responsables.
Competencias deseables
Experiencia previa en proyectos de IA Generativa y deployment de modelos en ambientes productivos. Conocimientos en herramientas de orquestación de flujos de trabajo en IA y buenas prácticas de observabilidad y monitoreo. Habilidad para trabajar con equipos distribuidos y comunicarse en inglés título y escrito.
Beneficios y oportunidades
Ofrecemos modalidad de trabajo en sistema «hybrido», combinando presencia en oficinas y trabajo remoto cuando sea posible. Contamos con aprendizaje continuo, acompañamiento de profesionales senior y proyectos desafiantes con impacto real. Buscamos fomentar un excelente ambiente de trabajo, con oportunidades de desarrollo profesional y crecimiento dentro de una empresa con presencia consolidada en Latinoamérica.
Gross salary
$3000 - 3500
Tiempo completo
Senior AI Engineer
Python
Virtualization
Amazon Web Services
Docker
Niuro connects projects with elite tech teams to deliver cutting-edge technological solutions for leading U.S. companies. As part of our AI-focused initiatives, you’ll join a global team building autonomous, agent-based AI systems and maintaining production-grade AI services. You will work on industrial data projects that demand high reliability, scalability, and robust operational practices. The role emphasizes collaboration with core engineers, product, and leadership to ensure AI systems significantly improve business outcomes while staying aligned with strategic goals. This position offers ongoing training, leadership development, and the opportunity to contribute to long-term, high-impact projects in a fully remote environment.
This company only accepts applications on Get on Board.
What You’ll Do
- Design, build, and improve AI-driven systems, including agent-based workflows, to solve real-world problems.
- Hands-on debugging, refactoring, and stabilizing existing AI/LLM systems in production to reduce debt and improve reliability.
- Develop and integrate AI capabilities through REST APIs and service-oriented architectures (e.g., FastAPI or equivalent).
- Deploy, monitor, and operate AI services in AWS, ensuring performance, cost-efficiency, and security.
- Collaborate with engineers to address technical debt, optimize pipelines, and enhance system observability.
- Communicate progress, risks, and trade-offs clearly to stakeholders and leadership.
Requirements
- Fluent English (written and spoken).
- Strong programming skills in Python.
- Experience working with LLMs (e.g., OpenAI, Anthropic, Bedrock, or similar).
- Ability to design and build APIs and services (FastAPI or equivalent).
- Experience deploying and operating services in AWS or other cloud platforms.
- Hands-on mindset and comfort working in messy, real-world systems.
Nice to Have
- Experience with agent or multi-agent frameworks (LangGraph, LlamaIndex, LangChain, MCP, etc.).
- Docker and containerized deployments (Docker, ECS, Gunicorn).
- Familiarity with monitoring and observability (CloudWatch, Prometheus, Grafana).
- Experience with semantic search, embeddings, or vector databases.
- Knowledge of document processing or extraction tools (e.g., Textract).
- Experience with testing (pytest, Playwright) and basic CI/CD workflows.
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.
Informal dress code
No dress code is enforced.
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Gross salary
$3700 - 5800
Tiempo completo
AI / Machine Learning Lead
Python
Analytics
Artificial Intelligence
Machine Learning
Krunchbox is a retail analytics SaaS platform helping brands increase sell-through, prevent stockouts, and uncover lost revenue across major retailers. We are launching Krunchbox Reimagined — a modern, AI-enabled platform that moves beyond dashboards into predictive, prescriptive, and agent-driven decision support. Our AI/ML function is central to this transformation. As AI/ML Lead, you will shape and scale the applied AI strategy, guiding production-grade ML systems that directly drive customer value, including predictive analytics, agentic AI workflows, and customer-facing AI experiences (agents, chatbots, insights engines). You will collaborate with Product, Data Engineering, and the executive team to deliver measurable business impact.
Find this vacancy on Get on Board.
AI & ML Strategy
- Define and execute Krunchbox’s applied AI roadmap aligned to commercial outcomes (sell-through lift, lost-sales recovery, forecast accuracy).
- Identify where traditional ML, time-series forecasting, and LLM-based agents create value, and translate customer problems into scalable ML solutions embedded in the product.
- Lead the design and deployment of predictive analytics, agentic AI workflows, and customer-facing AI experiences (agents, chatbots, insights engines).
- Collaborate with Product, Data Engineering, and leadership to ensure AI initiatives drive measurable business results.
What you’ll own
- Own end-to-end ML lifecycle: feature engineering, model training, evaluation, deployment, monitoring, and governance to ensure reliability and explainability.
- Build production-grade models for demand forecasting, lost-sales estimation, stockout risk, inventory optimization, and anomaly detection, incorporating external signals (weather, promotions, calendar effects).
- Design and implement agentic AI workflows that monitor data conditions, generate proactive insights, and recommend actions (e.g., reorder, rebalancing, investigation).
- Develop internal and customer-facing AI agents that reason over Krunchbox data, metadata, and business rules; build conversational AI experiences for insights and self-service analytics, plus internal support tooling.
- Ensure safe integration of LLMs with structured retail data (POS, inventory, product/store master) and collaborate with Data Engineering on scalable pipelines (ClickHouse, Spark, cloud data stacks).
- Provide technical leadership and mentorship to engineers and analysts as the AI function scales; shape AI-driven features and roadmap decisions in partnership with Product.
What we value
6+ years in applied machine learning / data science with a strong background in time-series forecasting, statistical modeling, feature engineering at scale, and deploying ML models to production. Proficiency in Python for ML and data pipelines, plus experience with large, messy real-world datasets. Ability to explain complex models to non-technical stakeholders. Desirable: experience with retail, supply chain, or POS data; building LLM-powered systems or chatbots; familiarity with modern data stacks (ClickHouse, Spark, cloud data warehouses); exposure to MLOps, monitoring, model governance, and cloud orchestration. Startup or SaaS scale-up experience is a plus.
Benefits
- Competitive compensation package and comprehensive health benefits.
- Opportunity to lead and scale AI for a global SaaS platform.
- Hybrid work model with a Chilean engineering hub; collaborative, in-person teamwork emphasis.
- Direct, impactful role shaping the future of AI-powered retail analytics and supplier-retailer collaboration.
- Supportive environment to own AI at the core of a revenue-driving product; potential for leadership growth within Krunchbox.
Relocation offered
If you are moving in from another country, Krunchbox helps you with your relocation.
Partially remote
You can work from your home some days a week.
Computer provided
Krunchbox provides a computer for your work.
Informal dress code
No dress code is enforced.
Gross salary
$3000 - 3500
Tiempo completo
Senior Machine Learning Engineer – Computer Vision
Python
3D
Git
DevOps
Niuro connects projects with elite tech teams, delivering autonomous, high-performance engineering groups to top U.S. companies. In this engagement, you will lead the design, implementation, and operation of end-to-end ML solutions for image and video analytics within a mining-industry context. The project emphasizes scalable ML pipelines, robust model quality, and strong MLOps practices to ensure reliable production deployment. You will collaborate closely with cross-functional teams to produce impactful ML products and maintain production-grade delivery standards.
Job opportunity on getonbrd.com.
Key Responsibilities
- Design and implement robust Computer Vision architectures for training and inference, building end-to-end data pipelines for image and video data.
- Develop production-grade Python code with testing, logging, documentation, and engineering best practices.
- Own and advance MLOps practices: CI/CD pipelines, dataset and model versioning, environment management, and monitoring for models and data in production.
- Optimize models for latency, throughput, and hardware efficiency (GPU/CPU) while maintaining high accuracy through systematic experimentation.
- Deploy and operate models in production—exposed APIs, batch processing, streaming, or edge deployments.
- Collaborate with product, data, and business stakeholders to translate requirements into scalable ML solutions and drive continuous improvement.
Requirements
✅ Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field.
✅ 5+ years of experience in Machine Learning / Deep Learning with a strong focus on Computer Vision (object detection, segmentation, tracking, pose estimation, 3D/stereo vision, or video understanding).
✅ Expert Python developer with hands-on experience in at least one DL framework (PyTorch, TensorFlow/Keras, JAX, etc.).
✅ Practical experience with CV libraries such as OpenCV, scikit-image, or similar tools.
✅ Proficient in Docker, Git, and CI/CD or MLOps platforms (e.g., Azure DevOps, GitLab CI, GitHub Actions, MLflow, Kubeflow).
✅ Proven track record deploying and operating ML models in production environments.
✅ Fluent in Spanish (required).
Nice-to-Have
🔸 Experience applying ML in industrial, mining, or edge environments.
🔸 Familiarity with cloud platforms (AWS, Azure, GCP).
🔸 Strong background in model monitoring, data quality, or ML observability.
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.
Informal dress code
No dress code is enforced.
$$$
Tiempo completo
Senior Gen AI Engineer
Python
Flask
Back-end
FastAPI
Niuro partners with elite U.S. companies to deliver autonomous, high-performance tech teams. This role sits within our Gen AI / AI systems squad, focused on building scalable AI-powered solutions for complex business problems. You will contribute to a global, remote-friendly delivery model, collaborating with cross-functional teams to design, prototype, and deploy LLM-driven applications. The project scope includes creating PoCs, iterating quickly based on feedback, and ensuring robust integration with multiple model providers and data sources. Niuro offers ongoing professional growth, leadership development, and a strong administrative backbone to enable engineers to focus on impact.
Send CV through getonbrd.com.
What you'll do
- Lead the design and implementation of Generative AI solutions and LLM-driven applications, with emphasis on reliability, scalability, and usability.
- Develop and maintain backend services (Python-based) using FastAPI/Flask, integrate with model APIs (OpenAI, Anthropic, etc.), and build supporting tooling (memory, prompting strategies, tools, and evaluations).
- Build and orchestrate multi-framework AI stacks (e.g., LangChain, LangGraph, Pydantic AI, CrewAI, AutoGen, LlamaIndex, Haystack) and ensure effective observability and monitoring (LLM observability, performance metrics).
- Implement RAG pipelines, prompt engineering patterns, and multi-agent systems to solve complex tasks with high autonomy.
- Create simple UIs for internal testing and demonstration (Streamlit, Gradio) and collaborate with frontend teams (React/Next.js) when needed.
- Drive PoC deliveries within ~2 weeks, then iterate rapidly based on feedback and business value realization.
- Collaborate across LATAM time zones with Spanish fluency, maintaining high autonomy, speed, and results orientation.
Required skills and experience
- 1+ year of hands-on experience with large language models and Generative AI frameworks.
- Practical experience with at least two frameworks from the following: LangChain, LangGraph, Pydantic AI, CrewAI, AutoGen, LlamaIndex, Haystack, or similar.
- Proficiency in Python with backend experience using FastAPI, Flask, or equivalent.
- Experience implementing LLM-powered applications (prompting, tools, memory, evaluations) and knowledge of memory management strategies for AI systems.
- Knowledge of multi-agent systems and retrieval-augmented generation (RAG) pipelines.
- Experience integrating with model APIs (OpenAI, Anthropic, etc.).
- Ability to work on backend tasks and contribute to simple UIs (Streamlit or Gradio).
- Fluent Spanish with ability to collaborate within Chile/LATAM time zones.
- High level of autonomy, speed, and a results-driven mindset.
Nice to have
- Experience with Azure or other cloud deployment platforms.
- Familiarity with React or Next.js for frontend integration.
- Experience with LLM observability tools (LangSmith, Weights & Biases, Arize/Phoenix, OpenTelemetry).
- Exposure to CI/CD pipelines and deployment infrastructure.
What we offer
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.
Informal dress code
No dress code is enforced.
Gross salary
$4500 - 7500
Tiempo completo
Head of Artificial Intelligence
Python
Virtualization
Amazon Web Services
Artificial Intelligence
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. The Head of AI will join Niuro’s remote-first environment to define and drive the AI strategy across the organization, partnering with the CEO to align technology with business goals. You will lead the design and deployment of scalable, secure AI platforms, modernizing legacy systems while delivering transformative AI capabilities for our clients. This role sits at the intersection of strategic leadership and hands-on technical execution, guiding cross-functional teams and ensuring that AI initiatives translate into measurable business outcomes. You will also help nurture a global, high-performance workforce through mentorship, training, and strong governance around AI programs.
This company only accepts applications on Get on Board.
Key Responsibilities
- Vision & Strategy: Partner with the CEO to define and execute Niuro's AI roadmap, ensuring alignment with business objectives and market opportunities. Translate strategy into actionable programs with clear milestones and metrics.
- Architecture Leadership: Serve as the chief AI architect, designing scalable, secure AI-driven systems. Lead the transition from legacy platforms to modern infrastructure while ensuring reliability and compliance.
- Innovation & Delivery: Drive rapid development of new AI-powered features and services, balancing speed with maintainability and long-term support.
- Technology Oversight: Guide the use of cloud-based technologies (AWS, Terraform, Kubernetes, Python, Windows Server/IIS, FastAPI). Implement monitoring (CloudWatch, Grafana) and data pipelines (AWS Glue/Lambda) to ensure scalability and observability.
- People & Stakeholders: Communicate complex technical concepts clearly to executives, clients, and internal teams. Mentor senior engineers and foster a culture of scientific rigor and responsible AI.
Required Skills & Experience
8+ years in software engineering, data science, or AI with at least 3+ years in leadership. Proven track record deploying AI/ML solutions at scale in production environments. Strong systems design background and experience with cloud platforms (AWS preferred). Advanced Python programming skills; experience with modern AI frameworks and LLMs. Demonstrated success modernizing legacy platforms and delivering scalable, maintainable AI solutions. Exceptional executive-level communication abilities and a talent for translating technical concepts into business value. Fluent in English; Spanish or Portuguese is a plus.
Desirable Skills & Experience
Experience in regulated industries (fintech, govtech) and products with active users and customer support operations. Familiarity with AWS AI services, container orchestration (Kubernetes/ECS), and MLOps. Exposure to LLM-based automation and data engineering workflows. A proactive, entrepreneurial mindset with a bias for action and strong collaboration skills.
Benefits & Perks
We offer the chance to participate in impactful, technically rigorous industrial data projects that drive innovation and professional growth. Niuro supports a 100% remote work model, enabling global flexibility. We invest in career development through ongoing training and leadership opportunities, ensuring continuous growth. Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment. Joining Niuro means being part of a global community with strong administrative support that enables you to focus on impactful work.
Fully remote
You can work from anywhere in the world.
Gross salary
$2000 - 3000
Tiempo completo
AI Engineer
Python
Virtualization
Amazon Web Services
Docker
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. Niuro empowers projects by providing autonomous, high-performance tech teams specialized in partnering with top-tier U.S. companies. We focus on innovative and challenging projects that foster continuous professional growth and technological excellence.
Apply to this job opportunity at getonbrd.com.
About the Role:
We’re looking for an AI Engineer to help us develop intelligent agent systems that automate the processing of structured and semi-structured documents. Your work will improve user experience and internal workflows, focusing on automation, accuracy, and scalability.
Requirements:
- Fluent English (written and spoken)
- Strong programming skills in Python
- Experience working with large language models (LLMs) such as OpenAI API or similar
- Ability to design and build APIs using FastAPI
- Familiarity with AWS or other cloud platforms
Nice-to-have:
- Experience with Docker, Gunicorn, and Amazon ECS
- Knowledge of Amazon Bedrock, Amazon Textract, BAML, and Pydantic AI
- Familiarity with Aestiva HTML/OS and Streamlit for prototyping
- Experience with frontend testing using Playwright and backend testing using pytest
- Experience with monitoring tools like CloudWatch, Prometheus, and Grafana
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.
Informal dress code
No dress code is enforced.
Gross salary
$3500 - 4500
Tiempo completo
Arquitecto Líder de Integraciones
Agile
SAP
JSON
Microservices
Coderslab.io es una empresa global dedicada a transformar y hacer crecer los negocios de nuestros clientes mediante soluciones tecnológicas innovadoras. Contamos con más de 3.000 colaboradores en todo el mundo y oficinas en América Latina y Estados Unidos. Nuestro equipo está integrado por el top 1% de talento tecnológico, trabajando en proyectos desafiantes e innovadores que impulsan tu carrera.
Actualmente en búsqueda de un Líder de Integraciones cuyo proposito principal será liderar la estrategia, operación y evolución de la capa de middleware e integraciones empresariales, asegurando la conectividad entre los sistemas core del negocio (SAP, Retail Pro, RCP, sistemas de e-commerce) y la gestión efectiva de las relaciones con proveedores tecnológicos.
Apply to this job from Get on Board.
Funciones del cargo
- Administrar y optimizar las plataformas de middleware (Ekyam, SAP CPI, V33) garantizando disponibilidad, rendimiento y escalabilidad
- Diseñar e implementar arquitecturas de integración que soporten los procesos de negocio retail: demand planning, gestión de inventarios, órdenes de compra y sincronización de maestros
- Liderar la consolidación de plataformas de middleware hacia una arquitectura federada
- Definir y mantener los estándares de integración empresarial, incluyendo patrones de diseño, protocolos y documentación técnica
- Asegurar la integridad y calidad de datos en los flujos de integración entre sistemas
- Participar en decisiones de arquitectura empresarial considerando la roadmap tecnológica (incluyendo futura migración a S/4HANA)
- Ser el punto de contacto técnico principal con proveedores de middleware y sistemas integrados
- Negociar y dar seguimiento a SLAs, tiempos de respuesta y compromisos de entrega
- Coordinar reuniones técnicas con partners internacionales, asegurando comunicación efectiva en inglés y español
- Establecer procesos de monitoreo, alertas y resolución de incidentes en integraciones
- Documentar y mantener actualizado el inventario de integraciones y sus dependencias
- Coordinar con equipos de desarrollo, infraestructura y operaciones para asegurar continuidad del negocio
Requerimientos del cargo
- Formación Academica en Ingeniería en Sistemas, Informática, Computación o carrera afín
- Inglés minimo B2 (Excluyente)
- Deseable: certificaciones en arquitectura empresarial (TOGAF), integración (Ekyam, SaltBox, SAP CPI) o metodologías ágiles
- Experiencia Mínimo 5 años en roles de integración de sistemas o arquitectura de soluciones
- Al menos 3 años liderando equipos técnicos o proyectos de integración
- Experiencia comprobable en industria retail (deseable en operaciones multi-país)
- Experiencia con ERP (preferiblemente SAP B1 o S/4HANA)
- Conocimientos Técnicos en Plataformas de middleware e integración (iPaaS, ESB, API Management)
- Arquitectura empresarial y patrones de integración (SOA, microservicios, event-driven)
- Bases de datos relacionales y manejo de datos maestros
- APIs REST/SOAP, formatos de intercambio (JSON, XML, EDI)
- Metodologías de desarrollo y gestión de proyectos
Condiciones
Modalidad de contratación: Prestación de servicios
Fully remote
You can work from anywhere in the world.
Gross salary
$5000 - 6200
Tiempo completo
Arquitecto SAP Extensibility
Analytics
SAP
ABAP
English
En Coderslab.io, impulsamos la transformación y el crecimiento de negocios a través de soluciones tecnológicas innovadoras. Formarás parte de una organización en rápida expansión, con más de 3,000 empleados a nivel global y oficinas en América Latina y Estados Unidos. Trabajarás en equipos diversos conformados por talento tecnológico de élite (top 1%), involucrado en proyectos desafiantes e innovadores que acelerarán tu carrera. Tendrás la oportunidad de aprender de profesionales experimentados en sus respectivas áreas y de trabajar con tecnologías de vanguardia.
Apply without intermediaries from Get on Board.
Funciones del cargo
• Liderar arquitectura de integraciones y extensiones en SAP BTP.
• Diseñar integraciones entre SAP B1 y S/4HANA Public Cloud con CPI, API Management,
Event Mesh.
• Definir estrategia de extensibilidad con Fiori/UI5 y CAP.
• Monitorear seguridad, performance y gobernanza en BTP.
• Reportar avances al Head of SAP.
Requerimientos del cargo
• +8 años de experiencia en integraciones SAP (ABAP, PI/PO, CPI).
• Experiencia comprobada en SAP BTP (extensibility, analytics, APIs).
• Experiencia previa en SAP B1 Add-ons / middleware.
• Certificación SAP BTP o equivalente (obligatoria).
• Inglés avanzado.
• Ubicación LATAM, disponible en horario regional.
• Conocimientos básicos en Jira.
Condiciones
Modalidad: Remoto
Visa Americana vigente
Vivir o residir en: Panamá, Costa Rica, Bogotá, Republica Dominicana, Miami
Ingles avanzado
Fully remote
You can work from anywhere in the world.
Gross salary
$2500 - 3500
Tiempo completo
Senior Telecom Platform Engineer
MySQL
PostgreSQL
Oracle
Linux
Acerca de Devups – Somos una empresa global que ofrece servicios de staff augmentation para el sector tecnológico. Nuestro objetivo es impulsar el crecimiento de nuestros clientes permitiendo sumar, cambiar o reducir recursos de desarrollo de forma ágil, sin asumir la carga operativa de reclutamiento, contratos y gestión de talento. En Devups promovemos flexibilidad, innovación y aprendizaje continuo, con un enfoque global que facilita trabajar desde cualquier ubicación. Nuestro proyecto con una empresa líder en telecomunicaciones abarca la integración y operación de plataformas críticas de red, con alcance internacional.
Apply exclusively at getonbrd.com.
Funciones y responsabilidades
- Instalar, administrar, integrar y actualizar productos de telecomunicaciones como FlowOne, NAC, NOrC y UIV.
- Realizar troubleshooting de configuraciones, rendimiento y gestión de fallas.
- Brindar soporte remoto y gestionar cambios de software para clientes globales.
- Ejecutar chequeos de salud del sistema y mantenimiento preventivo en plataformas EMS/NMS.
- Asegurar cumplimiento OSS con auditorías internas/externas.
- Apoyar la integración de elementos de red 2G, 3G y 4G.
Requisitos y perfil deseado
6 a 10 años de experiencia en roles similares dentro de telecomunicaciones o infraestructuras de red avanzadas. Formación en Ingeniería, Ciencias de la Computación o afines (B.E./B.Tech/MCA). Inglés avanzado. Excelentes habilidades de comunicación, trabajo en equipo y adaptabilidad para operar en entornos globales y con husos horarios diversos. Disponibilidad para viajar de forma ocasional si es necesario.
Conocimientos técnicos clave: Linux Red Hat / Unix, Docker, Kubernetes, OpenShift; VNF/CNF; pipelines CI/CD; automatización con Helm, Ansible, Puppet; bases de datos Oracle, MySQL, PostgreSQL; herramientas de monitoreo como Grafana; fundamentos de redes (IP, routers, switches); scripting en Shell; herramientas de ticketing como Remedy, Salesforce, Dynamics.
Requisitos deseables
Certificaciones relevantes (p. ej., OCP, CKA) y experiencia adicional en entornos de telecomunicaciones de gran escala. Conocimiento práctico de redes celulares 2G/3G/4G y experiencia en entornos multicliente con altos niveles de disponibilidad. Habilidades de liderazgo técnico y capacidad para trabajar de forma proactiva en un equipo distribuido.
Beneficios
Como parte de Devups, ofrecemos un entorno laboral flexible donde la innovación, el crecimiento profesional y la adaptabilidad son clave. Al ser un servicio de staff augmentation, promovemos la posibilidad de trabajar desde cualquier ubicación con modalidad de trabajo remoto global, lo que facilita el equilibrio entre vida personal y profesional.
Fomentamos el desarrollo continuo y apoyamos la certificación y formación en tecnologías punteras para mantenernos siempre a la vanguardia.
Fully remote
You can work from anywhere in the world.
Gross salary
$2500 - 3000
Tiempo completo
Product Owner – Fintech
Agile
REST API
SQL
SaaS
Niuro connects projects with top tech teams, working with leading U.S. companies. We help projects succeed by providing independent, high-performing tech teams. We also handle all the admin tasks like hiring, payments, and training. Our goal is to deliver impactful AI-driven fintech projects. You'll also find continuous professional growth and leadership development here. This role is part of our fintech and automation work, where we use AI to deliver value faster. Niuro is remote-first, so you can work from anywhere. We also make sure you have strong collaboration and a supportive admin team.
Apply directly on Get on Board.
What You’ll Own
You'll turn strategy into real work and make sure each sprint delivers clear business results. You'll manage the Jira backlog completely, refining user stories and technical tasks with clear goals. You'll also lead Scrum meetings. You'll create clear Confluence documentation, release notes, and internal guides. You'll work with Engineering, UI/UX, Data, and Operations teams to clear roadblocks and manage how tasks depend on each other. You'll look for ways to use AI and automation to improve workflows and product needs. You'll also track delivery metrics (like velocity, throughput, and cycle time) to help the team be more predictable and perform better.
What We Look For
We're looking for a proactive, accountable Product Owner with over 5 years of experience in Fintech, SaaS, or Digital Banking. You should have strong Agile experience, a proven history of managing full product lifecycles, and understand REST APIs and SQL. You'll need to be an expert in Jira and Confluence. Experience with Amplitude, Segment, Snowflake, or Datadog is a big plus. You need advanced English (C1) for international work. Spanish is a plus. You should communicate clearly, be comfortable guiding diverse teams, and make decisions based on data. Having a strong interest in AI and API-driven automation for financial processes will help you stand out.
Nice-to-Haves
It's great if you have experience shaping AI-first products, can explain things well to stakeholders, understand fintech regulations, and are comfortable in a fast-paced, remote-first environment. We also value prior success in aligning product strategy with engineering limits and customer needs.
Why Niuro
We offer impactful, technically strong projects using industrial data that drive innovation and growth. Niuro is fully remote, globally. You'll also get ongoing career development and leadership chances. Successful contractors can move into long-term, full-time roles. Join a global community focused on technical excellence. We provide strong admin support so you can focus on delivering real results.