About the Role
We're an early-stage healthtech AI startup building a payer intelligence platform that streamlines the end-to-end payor compliance lifecycle — benefits verification, medical necessity audits, prior authorization, and appeals — for procedure-heavy specialties like Vascular Surgery, Interventional Cardiology, and Interventional Radiology.
As a Forward Deployed Engineer, you'll own the integration layer between our platform and the real-world provider and insurance systems it serves. Sitting at the intersection of our founding team and our clients, you'll translate messy healthcare workflows into clean technical solutions — building APIs, scrapers, and custom integrations that make our product fit seamlessly into each practice's stack. This is a high-ownership role where you'll ship fast, develop deep knowledge of the US healthcare landscape, and directly impact how surgical practices operate day to day.
What You'll Do
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Build and maintain integrations with provider practices and insurance systems — using APIs where they exist, scrapers and RPA where they don't
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Join client discovery sessions with founders to map real-world workflows and translate them into clear technical requirements
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Ship custom integrations quickly and iterate based on real-world feedback
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Contribute to the core product when integration work isn't the bottleneck
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Develop a deep working knowledge of the US provider/payer landscape
What We're Looking For
Required
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2–5 years of full-stack engineering experience building and shipping features end-to-end — from discovery through delivery
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Startup background with broad ownership, comfort with ambiguity, and a track record of shipping in small teams
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Proven experience integrating with third-party APIs
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Proficiency in Python and FastAPI (or equivalent backend frameworks)
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Proficiency in React and TypeScript (or equivalent frontend technologies)
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Active use of AI coding tools (e.g. Claude Code, Cursor, or similar) with shipped production work to show for it
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Strong communication skills — able to clearly articulate technical problems and tradeoffs to non-technical stakeholders
Nice to Have
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Experience building web scrapers or RPA solutions
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AWS or GCP cloud infrastructure experience
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Experience building LLM features or AI applications in production (beyond coding tools)
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Prior experience working in US healthcare or with provider/payer systems
Tech Stack: Python, FastAPI, React, TypeScript, Postgres, AWS, GCP, GitHub
Visa sponsorship: Not available
Compensation & Benefits
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Salary: $150,000 – $230,000 USD annually, depending on experience
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Early-stage equity
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Full-time position
Location
This is a hybrid role based in Los Angeles, CA (New York City also considered). You'll work in-person when called upon, with occasional client travel expected.
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