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Clera

Founding Engineer

San Francisco$150k–$250kfulltimemidAdded today

About this role

Join an early-stage agentic integration platform as the first engineering hire, owning the entire platform architecture and setting engineering standards from day one. You'll work directly with founders to build and ship production systems for paying enterprise customers in a fast-paced startup environment.

What you'll do

  • Own agent platform, infrastructure, and integrations runtime end-to-end
  • Establish engineering patterns and standards to guide future team scaling
  • Collaborate with founders on technical strategy and product decisions
  • Ship production features continuously with measurable customer impact
  • Implement observability, monitoring, and reliability patterns across systems
  • Drive end-to-end feature development across frontend, backend, and infrastructure

What they're looking for

  • TypeScript and React (frontend)
  • Node.js (backend)
  • LLM integration and agent-based platforms
  • AWS cloud infrastructure
  • PostgreSQL database design
  • Distributed systems architecture
  • Observability and monitoring implementation
  • Startup/0-to-1 product development experience

Benefits

  • Visa sponsorship available
  • Founding engineer equity opportunity (implied but not stated)
  • Direct collaboration with founders
  • On-site in San Francisco
  • Production-focused, high-impact role
  • Opportunity to set company engineering culture
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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 end-to-end from 0 to 1 in a startup or side project—what was your biggest challenge?
  • Describe your experience integrating with or building on top of LLMs or agent frameworks. What did you learn?
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