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Clera

Forward Deployed Engineer

remote (Remote)$110k–$180kfulltimemidAdded 2 days ago

About this role

Join a Y Combinator–backed insurtech AI startup as the first US Forward Deployed Engineer, owning end-to-end customer deployments of AI agents in insurance agencies. You'll bridge product, engineering, and customer success, traveling to client sites to integrate systems, solve problems, and drive adoption in a founding role.

What you'll do

  • Own customer deployments from scoping and discovery through go-live and post-launch adoption
  • Build integrations with agency systems using documented, outdated, or undocumented APIs
  • Extract domain knowledge from insurance professionals and translate it into technical system designs
  • Diagnose and fix customer issues with quick patches and workflow customizations for AI agents
  • Travel to customer sites to drive deployment success and maintain tight customer engagement
  • Identify and escalate recurring failure patterns to the core platform team

What they're looking for

  • Python (2+ years production code)
  • LLM and AI agent development with real-world deployment experience
  • API design and system integration across multiple platforms
  • Prompt engineering and AI evaluation design for production systems
  • Reverse-engineering undocumented or legacy APIs
  • End-to-end project ownership in ambiguous, early-stage environments
  • Domain translation and technical communication with non-technical stakeholders
  • Ability to travel to customer sites regularly

Benefits

  • Equity stake at a well-backed seed-stage startup
  • Customer-facing role with direct impact on product direction
  • Opportunity to shape the future of AI in insurance operations
  • Founding team environment with outsized influence
  • Exposure to real-world AI deployment challenges and solutions
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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 an AI application you deployed to real users—what was the deployment process and how did you evaluate performance?
  • Describe a time you had to reverse-engineer or work with an undocumented API. How did you approach it and what did you ship?
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