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Clera

Agent Engineer

San Francisco$150k–$200kfulltimemidAdded today

About this role

Build the agent infrastructure powering an early-stage healthtech marketplace, designing orchestration layers, tool integrations, and evaluation frameworks that automate clinic and internal operations. This systems-focused role requires expertise in agentic AI workflows and will directly impact how the company scales.

What you'll do

  • Design and implement orchestration layers for multi-step agentic workflows across clinic and internal operations
  • Integrate external tools and APIs into agent systems with robust error handling and reliable tool calling
  • Build retrieval and evaluation infrastructure to measure and improve agent reliability and accuracy
  • Identify recurring manual workflows and ship automation systems to replace them
  • Monitor agent performance in production and iterate on system design based on real-world behavior

What they're looking for

  • Agent and LLM systems development
  • Orchestration and multi-step workflow design
  • Tool integration and API management
  • Retrieval-augmented generation (RAG)
  • Evaluation frameworks and monitoring systems
  • Strong math and computer science fundamentals
  • Prompt engineering
  • Systems thinking and automation

Benefits

  • Base salary $150,000–$200,000 annually
  • Meaningful equity
  • Early-stage healthtech company with core infrastructure ownership
  • On-site collaboration in San Francisco
  • Work on mission-critical systems 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 project where you built or deployed an agent system—what orchestration challenges did you face?
  • Describe your experience integrating external tools or APIs into an agentic workflow. How did you handle failures?
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