Senior Software Engineer, Agentic AI

Cadence Solutions is a fast-growing company in healthtech focused on building a remote care delivery system for older patients. They are seeking a Senior Engineer to design and implement AI-powered clinical workflows that enhance patient care and improve 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

Requirements:

• 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
• 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 in a high-growth, fast-paced environment with end-to-end ownership from design through production
• 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)