AI Engineer

Summary

Cadence is the clinical AI company automating the treatment of chronic disease. They are seeking an AI Engineer to design and ship production agents that synthesize real-time clinical data and surface proactive care recommendations, ultimately improving patient outcomes.

Responsibilities

• 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

Skills

• Bachelor's or Master's degree in Computer Science, Engineering or related field, or equivalent work experience
• 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)
• Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks
• Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling)

Qualifications

Must Haves

• Bachelor's or Master's degree in Computer Science, Engineering or related field, or equivalent work experience
• 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

Nice to Haves

• Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination)
• Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks
• Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling)

Benefits

• Fully remote
• Comprehensive health coverage: Medical, dental & vision
• Paid time off
• 401k plan + matching
• Paid parental leave
• Home office stipend