AI Product Engineer

Location: New York City, NY (Hybrid – 3 days in-office)

Experience: 5+ Years

Employment Type: Full-time

About the Role: We’re hiring an AI Product Engineer to build the next generation of agentic AI systems transforming healthcare. You'll work at the intersection of applied AI, full-stack engineering, and clinical workflows, building an agentic clinical platform that helps clinicians make better decisions and deliver more effective care to patients with chronic conditions. This is an opportunity to join a seed-stage, well-funded healthcare AI startup where you'll have significant ownership, work directly with leadership and clinicians, and take products from early prototypes to production.

What You'll Do: Build and scale agentic AI systems involving LLM orchestration, tool calling, context management, memory, and multi-step workflows. Develop full-stack product capabilities across backend services, APIs, and user-facing applications. Prototype new AI-powered clinical experiences and take successful concepts into production. Design LLM evaluations, regression tests, and quality benchmarks to measure reliability, safety, and performance. Build observability and monitoring systems to track model behavior, tool calls, errors, and workflow outcomes. Develop human-in-the-loop workflows that ensure AI systems operate safely in clinical environments. Collaborate with clinicians, product leaders, and engineers to translate real-world healthcare needs into reliable AI products.

What We're Looking For: Must-Have Requirements 5+ years of product engineering experience, with a strong focus on LLM-based systems. Hands-on experience building and deploying agentic AI or LLM-powered systems in production. Strong proficiency in Python and TypeScript, across backend and product development. Previous experience building software in healthcare, ideally involving provider-facing products or clinical workflows. Experience owning multiple product areas at an early-stage startup (Seed to Series A).Proven ability to architect and build products end-to-end, from concept to production. Experience with LLM evaluations, regression testing, or AI observability. Comfortable working in a fast-paced startup environment with significant ownership.

Nice to Have: Experience building agent harnesses, workflow engines, or coding-agent infrastructure. Familiarity with RAG, retrieval systems, APIs, and modern agentic AI frameworks. Experience designing human-in-the-loop AI workflows.

About the Company: Our client is building an AI-powered clinical execution platform for risk-bearing healthcare organizations. Its platform connects clinicians and patients through intelligent AI agents that continuously analyze patient context, generate clinical recommendations, coordinate follow-ups, and escalate cases requiring human judgment. The mission is to help healthcare teams deliver better, more proactive care while improving outcomes for patients with chronic conditions.

Why Join? Build impactful AI products at the intersection of healthcare and technology. Take end-to-end ownership of critical product capabilities. Work directly with clinicians, product leaders, and founding teams. Join a seed-stage startup backed by leading healthcare and AI investors. Location Requirement: Must be based in or willing to relocate to NYC and work from the office 3 days per week.