Job Description
📋 Description Design and deploy clinical AI agents that reason over patient context. Own reliability, observability, and cost efficiency of LLM-powered workflows. Build and optimize RAG pipelines over clinical knowledge bases and real-time data. Develop evaluation frameworks: benchmarks, safety tests, regression suites, CI/CD. Design multi-step agent orchestration: planning, memory, tool use, and error recovery. Collaborate with clinical, product, and engineering teams to translate care needs. 🎯 Requirements Bachelor's or Master's in CS/Engineering or related field, or equivalent experience 2+ years building AI/ML-powered systems in production Hands-on with LLM APIs (OpenAI/Anthropic/open-source) incl. prompts, tool use, and outputs Experience building RAG: embeddings, vector stores, retrieval optimization, grounding Experience with agent frameworks or orchestration (tool calling, planners, multi-agent coordination) Healthcare or regulated-industry experience (HIPAA, SOC 2) preferred 🎁 Benefits Competitive pay & equity Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave
