Agent Engineer
At Clera · Palo Alto; Palo Alto, California, United States
- Engineering
- Full-time
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Open to the United States
“Palo Alto”
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- Posted
- 21 hours ago
- First seen by us
- 9 November 2026
- Last checked
- 13 hours ago
Job description
From Clera’s job post, as they wrote it.
About the Role
Build reliable, production-ready agent capabilities that help users delegate complex work with confidence. This role combines agent systems engineering, platform development, integrations, and full-stack product work.
What You'll Do
* Evaluate advances in reasoning, planning, memory, tool use, and agent collaboration to identify useful product opportunities.
* Turn promising model behaviors into reusable skills and workflows that solve user problems.
Read the full description
* Build and improve Python agent infrastructure, including execution loops, orchestration, context management, structured outputs, retries, and recovery.
* Design tools and integrations for email, calendars, messaging, browsers, documents, CRMs, and business software.
* Own capabilities end to end across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and operations.
* Develop reusable platform abstractions and improve execution latency, cost, reliability, and safety.
* Use evaluations, production traces, and user feedback to diagnose issues and improve agent behavior.
* Set technical direction for ambiguous problems and contribute to design reviews and engineering quality.
What We're Looking For
* At least 5 years of experience building, deploying, and operating production software systems end to end.
* Strong Python skills, including maintainable production code and experience debugging asynchronous systems.
* Hands-on experience building production agent systems, with knowledge of planning, tool calling, structured outputs, context and state management, retries, and orchestration.
* Full-stack experience with Django, APIs, React, and TypeScript.
* Experience building integrations with external APIs and business software platforms.
* Ability to turn evolving technical capabilities and loosely defined user needs into practical product features.
* Experience designing reusable platform abstractions and analyzing production traces across models, application code, databases, and APIs.
* Background working with large language models, prompt engineering, or model evaluation in production; experience optimizing distributed systems for latency, cost, and reliability is helpful.
* Strong computer science and engineering fundamentals, clear communication, and a track record of ownership and career progression or startup experience.
Location
On-site in Palo Alto, California, with hybrid flexibility. Visa sponsorship is not available.
Agent EngineerClera
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