Staff Applied AI Engineer
Core
Design, build, and ship ML and LLM systems that shape how clinicians and patients interact with the platform, including conversational AI, personalization, and clinical decision support.
Role type
Staff Applied AI Engineer (hands-on IC with strategic scope)
Builds
Production ML/LLM systems, data pipelines, training/inference infrastructure, and evaluation frameworks for patient and provider-facing products.
Domain
Healthcare / Applied AI / Generative AI
Deliverable
production ML models
Required skills
Python, end-to-end ML system design, LLM techniques (prompting, RAG, fine-tuning), evaluation framework design, production deployment, cross-functional collaboration
Preferred skills
Healthcare domain experience, clinical NLP, agentic systems, scaling ML infrastructure, technical leadership
Technologies
Python, LLMs, RAG, evaluation platforms
Responsibilities
Define technical strategy across AI initiatives; design and build advanced ML/LLM systems; own problems end-to-end from scoping to production; develop robust evaluation frameworks; build platform infrastructure; mentor engineers and set technical direction.
Seniority
Staff, hands-on IC with strategic leadership
