AI PRODUCT ENGINEER — CLINICAL AI

HIRING: AI PRODUCT ENGINEER — CLINICAL AI

We’re looking for an AI Product Engineer to join a fast-moving healthcare AI team building the technical foundation of an agentic clinical AI platform.

Candidates with a strong ML research background but without hands-on product engineering experience are not a fit for this role.

This role is ideal for a product-minded full-stack engineer who enjoys working across applied AI, backend systems, LLMs, and user-facing product experiences and wants to build AI systems that solve complex, real-world clinical workflows.

Location: New York City, NY

Work Model: Hybrid

Employment Type: Full-time

Salary: $220K – $245K + Competitive Equity

Experience: 3+ years in product engineering, with a focus on LLM-based systems

VISA: Visa sponsorship/ Open to visa transfers (H1B transfers)

WHAT YOU’LL DO

• Build and evolve an agentic clinical AI platform, including context management, tool use, orchestration, permissions, memory, and human-in-the-loop workflows.
• Rapidly prototype new clinical AI experiences and transform promising concepts into production-quality software used by real clinicians.
• Design AI evaluations, regression suites, and launch criteria to measure task success, clinical quality, reliability, safety, latency, and cost.
• Build robust observability infrastructure across model behavior, tool calls, traces, errors, and end-to-end workflow outcomes.
• Collaborate closely with clinicians, product leaders, and engineers to translate complex clinical workflows into reliable and trustworthy software.
• Own meaningful product capabilities from early prototype through production, helping shape the architecture and user experience of the platform.

REQUIRED TECHNICAL SKILLS

• Python
• TypeScript
• LLMs / Large Language Models
• Agentic AI frameworks
• RAG / Retrieval Systems
• APIs & Backend Services
• Production experience with tool calling, orchestration, and context management
• Experience building LLM evaluations, regression testing, or AI observability tooling

REQUIRED EXPERIENCE

• 3+ years of product engineering experience with a focus on LLM-based systems
• Proven experience building agentic or LLM systems in production
• Experience working within healthcare or another highly regulated domain
• Experience conceptualizing, architecting, and building a product end-to-end
• Strong understanding of AI system reliability, evaluation, observability, and production deployment
• Ability to communicate technical trade-offs clearly to non-technical stakeholders.

NICE TO HAVE

Experience with:

• Agent harnesses
• Workflow engines
• Coding-agent infrastructure
• Advanced agent orchestration systems
• AI evaluation and observability infrastructure

WHO WE’RE LOOKING FOR

We’re looking for someone who is more than a pure ML researcher — someone who can take an ambiguous problem, design the solution, build the product, evaluate it, and take it into production.

The ideal candidate combines:

• Applied AI expertise
• Strong product engineering skills
• Backend and full-stack development
• Hands-on LLM/agentic AI experience
• Understanding of healthcare or regulated environments
• Strong evaluation and observability mindset
• Excellent communication and collaboration skills

INTERESTED?

If you have hands-on experience building LLM-powered products, agentic systems, AI workflows, or production AI infrastructure and are excited about applying these technologies to healthcare, we’d love to hear from you.

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