About the RoleWe'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- Build and maintain integrations with provider practices and insurance systems - using APIs where they exist, scrapers and RPA where they don't
- Join client discovery sessions with founders to map real-world workflows and translate them into clear technical requirements
- Ship custom integrations quickly and iterate based on real-world feedback
- Contribute to the core product when integration work isn't the bottleneck
- Develop a deep working knowledge of the US provider/payer landscape
What We're Looking ForRequired- 2-5 years of full-stack engineering experience building and shipping features end-to-end - from discovery through delivery
- Startup background with broad ownership, comfort with ambiguity, and a track record of shipping in small teams
- Proven experience integrating with third-party APIs
- Proficiency in Python and FastAPI (or equivalent backend frameworks)
- Proficiency in React and TypeScript (or equivalent frontend technologies)
- Active use of AI coding tools (e.g. Claude Code, Cursor, or similar) with shipped production work to show for it
- Strong communication skills - able to clearly articulate technical problems and tradeoffs to non-technical stakeholders
Nice to Have- Experience building web scrapers or RPA solutions
- AWS or GCP cloud infrastructure experience
- Experience building LLM features or AI applications in production (beyond coding tools)
- 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- Salary: $150,000 - $230,000 USD annually, depending on experience
- Early-stage equity
- Full-time position
LocationThis 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.
