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Clera

Forward Deployed Engineer

San Francisco$150k–$250kfulltimemidAdded today

About this role

Join a founding engineering team building an agentic AI platform that autonomously generates, tests, and deploys integration code in production. You'll own core systems end-to-end—from multi-agent orchestration to the durable execution runtime—and establish the engineering patterns that scale the platform.

What you'll do

  • Own core platform systems end-to-end including agent orchestration, cloud infrastructure, and the integrations runtime
  • Design and implement engineering patterns, architecture standards, and best practices for the organization
  • Build and maintain a durable execution runtime with self-healing capabilities and production monitoring
  • Ship features frequently to production in close collaboration with founders
  • Establish the technical foundation and standards that future engineers inherit
  • Develop multi-agent orchestration systems and knowledge base infrastructure

What they're looking for

  • TypeScript
  • React
  • Bun
  • Effect-TS
  • PostgreSQL
  • Kubernetes
  • AWS
  • Production systems design and deployment

Benefits

  • Equity participation as early-stage team member
  • Salary between $150,000–$250,000 annually
  • Visa sponsorship available
  • Direct collaboration with founders
  • Opportunity to shape product and engineering culture from the ground up
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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

  • Walk us through a production system you owned end-to-end—what were the key architectural decisions and how did you ensure reliability at scale?
  • Describe your experience designing engineering patterns or standards. How did you ensure adoption across a team?
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