Full Stack Engineer

Submittd Talent; New York (NY); Hybrid; USD 200,000 - 245,000; Full time

Benefits offered by this job

Competitive equity

Hybrid work model

Visa transfers supported

Job summary

Submittd Talent is working with a seed-stage clinical AI company in New York building an end-to-end agent platform used by clinicians. The AI Product Engineer will own the platform from prototype through production, collaborating with founders and a small cross-functional team to ship trustworthy software that operates inside daily clinical workflows.

The role requires 3+ years in product engineering with LLM-based systems, production experience with agentic tooling, and Python/TypeScript

Qualifications

• 3+ years in product engineering with a focus on LLM-based systems.
• Agentic or LLM systems you've taken to production, covering tool calling, orchestration and context management.
• Experience conceptualising, architecting and building a product end to end.
• Python and TypeScript across backend and product surfaces.
• Experience with LLM evaluations, regression testing or AI observability tooling.
• Healthcare or another highly regulated domain.
• Able to explain technical tradeoffs clearly to clinicians and other non-technical people.

Responsibilities

• Own the agentic platform outright, reporting into the Head of Engineering and founders.
• Prototype new clinical AI experiences and productionize the strongest ones.
• Design evaluations, regression suites and launch criteria for quality and safety.
• Build observability across model behaviour, tool calls and end-to-end workflows.
• Collaborate with clinicians and product to translate real workflows into trustworthy software.

Skills

LLM-based systems

Product engineering

Observability tooling

Technical communication

Healthcare domain

Tools

Python

TypeScript

LLM frameworks

Job description

AI Product Engineer (Clinical AI) - Start Up

• $200,000 to $245,000 plus competitive equity
• New York, hybrid with 3 days onsite
• Open to visa transfers including OPT and H1B

I'm working with a seed-stage clinical AI company in New York building the execution platform for risk-bearing care organisations. Their multi-agent system works both sides of the doctor visit off a shared patient context graph: clinician-side agents read the chart and surface specialist-level recommendations inside the EHR, while patient-side agents reach out between visits to gather updates and triage concerns, handing off to a human the moment something needs judgement. It's live in production and already showing 3x faster chronic condition control. They're hiring an AI Product Engineer to own that agentic platform end to end.

The Role

You'd be the person who owns the agent platform, working directly with the founders and a small engineering, AI and clinical team. This is genuine end-to-end ownership, from early prototype through to software real clinicians use every day.

Typical work includes:

• Building and evolving the agentic platform: context management, tool use, orchestration, permissions, memory and human-in-the-loop workflows
• Prototyping new clinical AI experiences quickly and turning the strongest into production software
• Designing evaluations, regression suites and launch criteria covering task success, clinical quality, reliability, safety, latency and cost
• Building observability across model behaviour, tool calls, traces and end-to-end workflow outcomes
• Working closely with clinicians and product to turn real clinical workflows into trustworthy software

Python, TypeScript, LLMs, agentic AI frameworks, RAG and retrieval systems, APIs, backend services. Modern React-based frameworks are a plus.

What they're looking for

• 3+ years in product engineering with a focus on LLM-based systems
• Agentic or LLM systems you've taken to production, covering tool calling, orchestration and context management
• Experience conceptualising, architecting and building a product end to end
• Python and TypeScript across backend and product surfaces
• Experience with LLM evaluations, regression testing or AI observability tooling
• Healthcare or another highly regulated domain
• Able to explain technical tradeoffs clearly to clinicians and other non-technical people

The Opportunity

• Own the agentic clinical platform outright rather than a slice of it, reporting into the Head of Engineering and working alongside the founders
• Applied AI pointed at chronic disease care for rural and underserved patients, live in production with real clinical outcomes behind it
• Small team of around 20, backed by well-known healthcare and AI investors, with leadership from some of the biggest names in value-based care
• $200,000 to $245,000 plus competitive equity
• Open to visa transfers including OPT and H1B