About the RoleThis is a high-ownership, forward-deployed engineering role at an early-stage healthtech AI company building an AI-powered payer intelligence platform for procedural medical specialties - think vascular surgery, interventional cardiology, and interventional radiology. The platform automates the full payor compliance lifecycle: benefits verification, medical necessity audits, prior authorization, and appeals.
You'll own the integration layer between the platform and the real-world provider and insurance systems it serves. Sitting directly between the founding team and clients, you'll translate messy healthcare workflows into clean technical solutions - building APIs, scrapers, and custom integrations that make the product fit seamlessly into each practice's stack. You'll ship fast, learn the US healthcare landscape deeply, and directly impact how surgical practices operate.
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 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 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
- Startup background - comfortable with broad ownership, ambiguity, and small teams
- Experience owning features or products from discovery through delivery
- Proven track record integrating with third-party APIs
- Proficiency in Python and FastAPI (or equivalent backend frameworks)
- Proficiency in React and TypeScript (or equivalent frontend technologies)
- Active user of AI coding tools (e.g. Claude Code, Cursor, or similar) with shipped production work
- Strong communication skills - able to clearly articulate technical problems and tradeoffs to non-technical stakeholders
Strong Pluses:- Experience building web scrapers or RPA solutions
- Background in US healthcare, or working with provider/payer systems
- AWS or GCP cloud infrastructure experience
- Production LLM application development beyond AI coding assistants
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 opportunity
LocationThis is a
hybrid role based in
Los Angeles, CA (New York City candidates also considered). In-person presence is required when called upon, and some travel should be expected for client engagements.
