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Clera

Founding Agentic Engineer

San Francisco$150k–$300kfulltimemidAdded today

About this role

A well-funded AI platform seeking a founding engineer to architect and own production-grade agentic systems at scale. You'll build the runtime harness, self-learning pipelines, and evaluation frameworks that enable rapid agent development and autonomous error recovery across a live marketplace.

What you'll do

  • Own the agent layer end-to-end, including context systems, self-learning pipelines, evals, and the meta-harness runtime
  • Design and establish patterns for how all agents are built, measured, and continuously improved across the company
  • Build self-healing workflows that detect failures, diagnose root causes, and recover autonomously in production
  • Develop a context and knowledge base system that accelerates integration client onboarding
  • Partner directly with founders on rapid experimentation and drive outcomes independently
  • Contribute to team growth through hiring and mentoring as the engineering organization scales

What they're looking for

  • TypeScript and production-ready code patterns
  • PostgreSQL and relational database systems at scale
  • LLMs, agent frameworks, and agentic architectures
  • Evaluation-driven development and agent performance measurement
  • Self-learning and self-healing system design
  • End-to-end system ownership and technical leadership
  • Rapid experimentation and iteration in early-stage environments
  • Cross-functional collaboration and communication

Benefits

  • Salary: $150,000 – $300,000 USD annually
  • Visa sponsorship available
  • On-site role in San Francisco with opportunity to shape foundational agentic systems
  • Direct partnership with founders as a peer engineer
  • Early-stage startup equity upside (implied through founding role)
  • Opportunity to build and lead the agentic engineering team
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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 shipped end-to-end—what was your role and what challenges did you overcome?
  • Describe your experience with LLM-based agents or agent frameworks. What did you build, and how did you measure success?
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