Future - Staff Applied AI Engineer

Future is building the AI foundation for its Health Coach product. The Staff Applied AI Engineer will build and ship production AI agents, develop coaching features, and own evaluation, deployment, monitoring, reliability, latency, and cost improvements.

Responsibilities:

• Build and ship production AI agents for Health Coach: tool-calling LLMs, structured output, parallel API orchestration, streaming
• AI features: coach matching, clinical-leaning guidance (sleep, nutrition, fitness), human in the loop
• Own the loop: prototype, Langfuse evals/rubrics, deploy, monitor traces, iterate
• Improve reliability/latency/cost: prompt caching, token budgets, retries, observability
• Write agent tools (Pydantic-validated integrations) in an EPD pod

Requirements:

• 4-10 yrs; shipped LLM agents to production
• Python/async, LangChain/LangGraph, Pydantic, Langfuse, AWS/Bedrock
• US citizen/GC
• Strong big-tech background, ideally moved to startups or founded a company
• Independent in a beta-stage environment