Lead / Principal Genai Engineer

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.

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.