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Clera

Forward Deployed Engineer

San Francisco$150k–$230kfulltimemidAdded today

About this role

Early-stage AI healthcare startup seeks a Forward Deployed Engineer to embed with customers and build integrations connecting their payer compliance platform to provider and payer systems. You'll own integrations end-to-end—from discovery through production—using REST APIs, scrapers, and RPA tools while collaborating with founders and clients to solve complex healthcare automation challenges.

What you'll do

  • Own provider and payer integrations end-to-end from discovery through production deployment
  • Conduct client discovery sessions to map workflows and translate them into technical requirements
  • Build and maintain integrations using REST APIs, scrapers, and RPA tools for legacy systems
  • Ship custom integrations quickly to meet client needs and business timelines
  • Develop deep domain knowledge of US healthcare provider/payer landscape and EHR systems
  • Contribute to core product development using Python/FastAPI and React/TypeScript stack

What they're looking for

  • Full-stack engineering (Python, FastAPI, React, TypeScript)
  • Third-party API integration (REST, authentication, data mapping, error handling)
  • Web scraping and RPA tooling for legacy systems
  • Healthcare IT standards (HIPAA, HL7) and domain knowledge
  • Cloud infrastructure (AWS or GCP)
  • PostgreSQL and relational database design
  • AI coding tools (Cursor, Claude Code)
  • Clear technical communication to non-technical stakeholders

Benefits

  • Competitive salary ($150,000–$230,000 annually)
  • Early-stage equity opportunity
  • High-impact role with direct visibility into company growth
  • Hybrid work arrangement in New York
  • Opportunity to work on real-world healthcare innovation
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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.

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Likely interview questions

  • Tell us about a time you owned a feature or product end-to-end at a startup—what were the biggest challenges and how did you ship it?
  • Walk us through your experience integrating with third-party APIs. How do you handle authentication, data mapping, and error scenarios?
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