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Clera

Forward Deployed Engineer

New York City$150k–$230kfulltimemidAdded today

About this role

Early-stage healthtech AI company seeking a Forward Deployed Engineer to own integrations between their payer intelligence platform and real-world provider and insurance systems. You'll bridge product and clients, building and maintaining APIs, scrapers, and RPA solutions while developing deep domain knowledge in procedure-heavy medical specialties.

What you'll do

  • Build and maintain integrations with provider practices and insurance systems using APIs, scrapers, and RPA
  • Participate in client discovery sessions to map workflows and translate them into technical requirements
  • Ship custom integrations quickly and iterate based on real-world feedback from live deployments
  • Contribute to core product development when integration work isn't the primary constraint
  • Develop working knowledge of the US provider/payer landscape and healthcare systems
  • Communicate technical tradeoffs to non-technical stakeholders

What they're looking for

  • Python and FastAPI (or equivalent backend frameworks)
  • React and TypeScript (or equivalent frontend)
  • Third-party API integration
  • Web scraping and RPA tools
  • AI coding tools (Claude Code, Cursor, etc.)
  • AWS or GCP infrastructure
  • Full-stack development
  • Production LLM application development

Benefits

  • Salary range: $150,000–$230,000 USD annually
  • Hybrid work in New York City
  • High ownership and impact in early-stage company
  • Direct exposure to healthcare domain and client relationships
  • Opportunity to ship quickly and iterate in real-world environment
  • Work with founding team on strategic initiatives
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Walk us through a third-party API integration you built end-to-end—what were the main challenges and how did you solve them?
  • Tell us about a time you gathered requirements from non-technical stakeholders and translated them into a technical plan. How did you handle conflicting priorities?
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