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Agent Engineer

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Agent Engineer in USA new

  • Palo Alto, CA

Responsibilities

  • Evaluate advances in reasoning, planning, memory, tool use, and agent collaboration to identify product opportunities.
  • Turn model behaviors into reusable skills and workflows that solve user problems.
  • Build Python agent infrastructure for 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 end-to-end capabilities across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and operations.
  • Develop reusable platform abstractions and improve 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.

Requirements

  • At least 5 years of experience building, deploying, and operating production software systems.
  • Strong Python skills, including maintainable production code and debugging asynchronous systems.
  • Hands-on experience building production agent systems involving 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 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.

Benefits

  • On-site in Palo Alto, California, with hybrid flexibility.
  • Visa sponsorship is not available.

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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