AvasarAI

Forward Deployed Engineer

clera · 15 hours ago

Verified today🌱 FreshSoftware Developmentfull-timemid
Not disclosed
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PythonFastAPIReactTypeScriptRPAAI toolsLLM

About the Role

This is a high-ownership engineering role at an early-stage healthtech startup building an AI-powered payer compliance platform for procedure-heavy medical specialties. You'll own the integration layer between the platform and real-world provider and insurance systems, sitting close to both the founding team and clients to turn complex healthcare workflows into clean technical solutions.

What You'll Do

  • Build and maintain integrations with provider practices and insurance systems using APIs, web scrapers, and RPA tooling as needed.

  • Join client discovery sessions with founders to map workflows and translate them into clear technical requirements.

  • Ship custom integrations quickly and iterate based on real-world feedback from live deployments.

  • 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 For

  • 2–5 years of full-stack engineering experience building and shipping production features.

  • Startup background with experience owning features or products end-to-end in small teams, from discovery through delivery.

  • Proven ability to integrate with third-party APIs.

  • Proficiency in Python and FastAPI (or equivalent backend framework) and React + TypeScript (or equivalent frontend).

  • Active, hands-on use of AI coding tools — with real 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 infrastructure experience; production LLM application development; prior work in US healthcare or with provider/payer systems.

Compensation & Benefits

Salary: $150,000–$230,000 USD annually. Visa sponsorship is not available.

Location

Hybrid — based in Los Angeles, CA. In-person presence required when called upon, with some travel expected.

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