Senior AI Engineer

The Role

We're hiring a Senior AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails.

What You'll Do

• Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations.
• Own reliability, observability, and cost efficiency of LLM-powered workflows at scale.
• Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data.
• Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD.
• Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths.
• Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design.
• Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture.

What You Need

• Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience
• 5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production
• Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production
• Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs
• Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding
• Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred
• Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred
• Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred