Staff Applied AI Engineer, Product & Agent Performance
Core
Own product-layer decisions for agentic capabilities in healthcare workflows, ensuring accurate, transparent, and safe AI performance at scale.
Role type
Staff Applied AI Engineer (Product & Agent Performance)
Builds
Agentic workflows, retrieval systems, memory/state handling, and evaluation frameworks for healthcare AI.
Domain
Healthcare / Responsible AI / Agentic Systems
Deliverable
production ML models | product features
Required skills
Agent behavior design, retrieval and context architecture, memory and state management, prompt engineering, evaluation rubric creation, escalation path design, cost-aware optimization, model change validation, product documentation.
Preferred skills
Experience with multi-turn and multi-agent flows, long-horizon task orchestration, production-grounded experimentation.
Responsibilities
Design and iterate agent behavior for live workflows; design retrieval and context architecture; design memory and state handling; create context and prompt templates; improve performance via prompting and tool-use; build and run production evaluations; author evaluation rubrics and thresholds; design escalation paths; optimize for cost, latency, and reliability; evaluate and sign off on model changes; maintain product-level AI documentation; partner with Product and Engineering.
Seniority
Staff, hands-on IC with strategic ownership
