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DevsuRemote · Colombia

Lead / Principal GenAI Engineer

Posted 3d agoML & AI EngineerRemote
  • This is a forward-deployed AI engineer role sitting within a newly formed, dedicated AI team at a large-cap private equity firm.
  • You will work directly with our portfolio companies to assess, design, build, and hand off high-impact AI solutions at pace.
  • The model is deliberately lean. You will work as part of a small, highly specialised pod alongside an AI product manager. Together you are the team. You will be embedded within portfolio companies with full credentials, access, and credibility.
  • The goal is not to embed indefinitely. It is to get a portfolio company to the point of scaling an AI opportunity and then hand it off, including helping them hire and build their own capability.

Requirements

  • What You'll Do
  • Assess AI feasibility during diligence, and set technical direction for the systems that follow: data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring.
  • Design and build LLM workflows, retrieval systems, and agentic applications directly against a portco's real enterprise data and infrastructure.
  • Define secure, scalable reference architectures appropriate to each portco's environment, across major cloud and AI platform services as needed.
  • Establish evaluation and observability standards for what you build, test sets, automated evals, tracing, quality scoring, latency/cost monitoring, and regression testing, so handoff teams can trust and maintain it.
  • Build in human-in-the-loop controls and sound data/security practices by default, even where a formal governance function doesn't yet exist at the portco.
  • Develop working prototypes that can evolve into production systems, and transfer that knowledge directly to portfolio company technical teams to support handoff and their own hiring.
  • Evaluate emerging models, frameworks, and tools, and bring back a practical point of view on what's worth adopting versus what's prototype-only.

What You'll Bring

  • 8+ years of professional software development experience with a deep understanding of full-stack architectures.
  • Meaningful, hands-on experience shipping production AI/ML systems, not just prototypes, including generative AI or agentic AI.
  • Deep fluency in agentic tooling (e.g., Claude Code, Cursor, Codex, GitHub Copilot) and in agentic architecture patterns: single- and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution.
  • Strong grasp of modern GenAI patterns: advanced RAG, embeddings, vector/hybrid search, re-ranking, tool/function calling, structured outputs, and context engineering.
  • Proficiency with modern AI engineering frameworks, LangChain, LangGraph, LlamaIndex, or comparable, and strong Python skills.
  • Working knowledge of cloud AI/ML platforms (e.g., Bedrock, Azure AI Foundry, Vertex AI) and enterprise data ecosystems (e.g., Snowflake, Databricks, vector databases) sufficient to work inside whatever stack a given portco already runs.
  • Comfort setting LLMOps/MLOps standards on the fly, versioning, CI/CD, containerisation, cost and performance optimisation, in environments that may have none of this today.
  • Ability to structure codebases and specifications to produce reliable, context-efficient AI output.
  • Sound judgement on architecture tradeoffs, model selection, retrieval strategy, latency, cost, security, vendor lock-in, and the ability to explain those tradeoffs plainly to both technical and non-technical stakeholders.
  • Comfortable engaging with both executives and frontline users.
  • Forensic attention to detail, extreme ownership, and a positive, can-do mindset.
  • Experience on Agile/Scrum teams and on large, complex systems.

Benefits

  • At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you'll enjoy:
  • A stable, long-term contract with opportunities for professional growth
  • Private health insurance
  • A remote culture that promotes work-life balance
  • Ongoing training, mentoring, and learning programs to keep you at the forefront of the industry
  • Free access to AI training resources and cutting-edge AI tools to enhance your daily work
  • A flexible paid time off (PTO) policy and paid holidays
  • Challenging, world-class software projects for clients in the U.S. and Latin America
  • Collaboration with some of the most talented software engineers in Latin America and the U.S., in a diverse work environment
  • Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.