Lead – Principal GenAI Engineer

This is a fully remote position, open to applicants in Colombia, +2 more countries.

📋 Description

• Evaluate the feasibility of AI during due diligence and establish the technical direction for data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring.

• Create and construct LLM workflows, retrieval systems, and agentic applications utilizing the enterprise data and infrastructure of portfolio companies.

• Define secure and scalable reference architectures across leading cloud and AI platform services.

• Set standards for evaluation and observability, which include test sets, automated evaluations, tracing, quality scoring, latency and cost monitoring, and regression testing.

• Implement human-in-the-loop controls along with robust data and security practices.

• Develop functional prototypes capable of transitioning into production systems.

• Provide direct knowledge transfer to portfolio company technical teams to facilitate handoff and recruitment efforts.

• Assess new models, frameworks, and tools, and suggest practical adoption strategies.

• Collaborate in a small specialized team alongside an AI product manager.

• Integrate within portfolio companies and transition solutions once they are prepared for scaling.

⛳️ Requirements

• Over 8 years of professional experience in software development with a comprehensive understanding of full-stack architectures.

• Significant hands-on experience in deploying production AI/ML systems, including generative AI or agentic AI.

• Extensive fluency in agentic tools such as Claude Code, Cursor, Codex, and GitHub Copilot.

• Experience with single- and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution.

• Strong understanding of advanced RAG, embeddings, vector/hybrid search, re-ranking, tool/function calling, structured outputs, and context engineering.

• Proficient with LangChain, LangGraph, LlamaIndex, or similar frameworks.

• Strong skills in Python programming.

• Familiarity with Bedrock, Azure AI Foundry, Vertex AI, Snowflake, Databricks, and vector databases.

• Experience in establishing LLMOps/MLOps standards, versioning, CI/CD, containerization, and optimizing costs and performance.

• Ability to structure codebases and specifications to yield reliable and context-efficient AI outputs.

• Sound judgment regarding architectural trade-offs, model selection, retrieval strategies, latency, cost, security, and vendor lock-in.

• Capability to communicate technical trade-offs clearly to both technical and non-technical stakeholders.

• Comfortable interacting with executives and frontline users.

• Meticulous attention to detail, a strong sense of ownership, and a positive, proactive attitude.

• Experience working on Agile/Scrum teams and managing large, complex systems.

🏝️ Benefits

• A stable, long-term contract with opportunities for professional development.

• Private health insurance coverage.

• A remote work culture that fosters work-life balance.

• Continuous training, mentoring, and learning programs to keep you at the forefront of the industry.

• Complimentary access to AI training resources and cutting-edge AI tools to enhance your daily work.

• A flexible paid time off (PTO) policy along with paid holidays.

• Engaging, world-class software projects for clients in the U.S. and Latin America.

• Collaboration with some of the most skilled software engineers in Latin America and the U.S. within a diverse work environment.