Senior AI Engineer

📋 Description Design, build, and ship production LLM features end-to-end. Build the AI app layer: prompts, tool calls, retrieval, embeddings. Develop evaluation infra: regression suites, LLM-as-judge, datasets. Design observability systems: accuracy, latency, cost, hallucinations. Build safety/reliability guardrails for quality and compliance. Evaluate/integrate third-party tools: orchestration, vector DBs, models. 🎯 Requirements 5+ years building production software; 1–2 years with LLM apps in prod. Strong Python backend engineer; experience with AI APIs/frameworks. Comfortable with AI-assisted dev tools across the SDLC. Shipped AI features used by real users; can cite metrics. Strong product instincts; thrives in ambiguity; translates problems to tech. Bonus: LangChain/LangGraph/AgentCore, RAG, vector DBs, LangSmith. 🎁 Benefits Competitive equity and benefits package. High-impact work in healthcare technology. Hybrid work model in New York with ownership culture.