Applied AI Engineer

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025). The Role We're hiring an Applied 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. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you. 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 engin