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Clera

Founding Engineer

San Francisco$120k–$250kfulltimemidAdded today

About this role

Join a YC-backed enterprise AI startup as a founding engineer, operating at near-CTO level to build and scale an agentic operating system. You'll own full product features end-to-end, design multi-agent architectures, and work directly with users to solve real problems using Go, TypeScript, and cutting-edge AI systems.

What you'll do

  • Own product features end-to-end from scoping through production deployment
  • Design and improve agentic systems for accuracy, reliability, and scalability
  • Build full-stack solutions using Go backend and Vite/TypeScript frontend
  • Engage directly with users to understand pain points and validate solutions
  • Champion AI-first development practices and coding automation
  • Maintain high engineering standards through code review and production readiness

What they're looking for

  • Go (backend)
  • TypeScript/Vite (frontend)
  • AI/agentic system architecture
  • Context engineering and tool use
  • Multi-agent system design
  • Production monitoring and observability
  • Full-stack development
  • Product sense and user-driven development

Benefits

  • Equity commensurate with founding-level role
  • High impact with large surface area ownership
  • Work on frontier AI problems
  • Direct user interaction and product influence
  • San Francisco on-site location
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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 production AI or agentic system you've built—what were the biggest reliability challenges and how did you solve them?
  • Describe your experience with agent architectures and multi-model AI integrations. Which patterns have you found most effective?