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Clera

Agent Engineer

Palo Alto (Remote)fulltimemidAdded today

About this role

Join an early-stage AI startup as an Agent Engineer to build production-grade autonomous agent systems. You'll design and implement end-to-end capabilities—from reasoning and tool integration to deployment—that power a trustworthy executive assistant, combining Python backend work with full-stack ownership across the entire stack.

What you'll do

  • Build and maintain a custom Python agent harness with execution loops, orchestration, context management, and error recovery
  • Design agent tools and integrations across email, calendars, messaging, CRMs, browsers, and other business platforms
  • Own capabilities end-to-end from agent logic through Django services, React interfaces, data models, and production operations
  • Research advances in reasoning, planning, memory, and agent collaboration to identify new product opportunities
  • Partner with evaluations team to define expected behavior, instrument capabilities, and drive quality improvements from production traces
  • Optimize latency, cost, reliability, and safety across high-volume agent execution and establish platform abstractions for scalability

What they're looking for

  • Python (production-grade, async systems, abstractions)
  • Agent systems (planning, tool calling, structured outputs, state management, orchestration)
  • Django and backend services
  • APIs and integrations (email, calendar, CRM, messaging platforms)
  • React and TypeScript
  • Full-stack debugging and observability
  • System design and platform abstractions
  • Distributed systems optimization (latency, cost, reliability)
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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

  • Describe a time you built an agent or autonomous system in production. What were the biggest challenges with reliability and user trust?
  • Walk us through how you'd design the context management system for an agent that needs to handle complex multi-step workflows across email, calendar, and CRM integrations.
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