Senior Software Engineer, Agentic AI

What you'll do

• Architect and ship knowledge, tool-using, and goal-driven agents; own planning, memory, retries, failure handling, and termination behavior.
• Design end-to-end retrieval and provenance, and build evaluation infrastructure for accuracy, groundedness, explainability, latency, and cost.
• Integrate model providers and third-party tools, monitor quality and cost, productionize research results, and mentor engineers entering AI work.

What they ask for

• Strong Python and/or TypeScript programming skills, with substantial production code in at least one.
• Deep practical experience with retrieval-augmented generation, including embeddings, vector search, chunking, ranking, and failure modes.
• Demonstrated experience building and debugging multi-step, tool-using agents.
• Experience rigorously evaluating AI changes, including building evaluation harnesses.

Nice to have

• Experience with knowledge graphs, ontologies, entity resolution, or information extraction; open-weight models in constrained or disconnected environments; or production observability and cost control for model-backed workloads.
• Familiarity with OSINT, intelligence, or research workflows; mentoring engineers into AI; or open-source contributions, publications, or academic collaboration in applied AI.

Tools

Python, TypeScript, LLM-backed systems, retrieval-augmented generation, embeddings, vector search

AI focus

Build and evaluate production agentic AI systems, including multi-step planning and tool use, retrieval, provenance, and explainability.