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Clera

Founding Engineer

San Francisco$120k–$250kfulltimemidAdded today

About this role

Founding engineer at a YC-backed enterprise AI startup building an agentic operating system. You'll own features end-to-end across a full-stack platform that deploys and manages AI agents at scale, working at CTO level with minimal direction in a fast-growing company.

What you'll do

  • Own large product features end-to-end from user research through production deployment
  • Design and improve agentic systems focusing on accuracy, reliability, and capability
  • Build full-stack solutions using Go backends and Vite/TypeScript frontends
  • Engage directly with users to understand pain points and scope solutions
  • Conduct code reviews and maintain high standards across the codebase
  • Champion AI-first development practices and automation techniques

What they're looking for

  • Go backend development
  • AI agent architecture and design
  • Full-stack development (TypeScript, Vite)
  • Production systems and observability
  • Context engineering and tool use
  • Product thinking and user empathy
  • Multi-model AI integration (OpenAI, Claude, Gemini)
  • Zero-to-one product building

Benefits

  • Generous equity package at founding level
  • Salary $120,000–$250,000 annually
  • Unlimited AI tooling budget
  • Direct collaboration with world-class design engineer and technical co-founder
  • Seat at the table to shape product and company direction
  • On-site in San Francisco with access to rapid early-stage growth
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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 time you shipped a zero-to-one feature or product entirely on your own—what was your process for scoping and prioritizing?
  • Describe your experience designing and deploying AI-driven systems. How do you think about agent architecture and reliability in production?
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