Forward Deployed Engineer

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 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 For Required 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 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.