Senior Applied AI Engineer
Core
Design, build, and ship ML and LLM systems that shape how clinicians and patients interact with the platform, owning problems end-to-end from framing to production.
Role type
Senior Applied AI Engineer (ML/LLM)
Builds
Patient and provider-facing products including conversational AI, personalization, user understanding, and clinical decision support.
Domain
Healthcare / Applied AI / Generative AI
Deliverable
production ML models
Required skills
Python, machine learning, LLMs (prompting, RAG, fine-tuning), data pipeline design, evaluation framework design, software engineering fundamentals, cross-functional collaboration
Preferred skills
Healthcare domain experience, clinical NLP, agentic systems, ML infrastructure scaling, technical leadership
Technologies
Python, LLMs, data pipelines, evaluation platforms
Responsibilities
Lead technical execution of complex AI initiatives; design, build, train, evaluate, and improve advanced ML/LLM systems; develop robust evaluation frameworks; build and improve platform infrastructure; partner with clinicians and product teams; set technical direction and mentor engineers.
Seniority
Senior, hands-on IC with leadership scope
