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Clera

Agent Engineer

Palo Alto
Salary
Not stated
Level
Senior
Work type
Remote · US only
Visa
Not offered

Open. First seen 16 October 2026.

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The team: Engineering HIRES STEADILY

This role is one of 246 open in Engineering. 180 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 246), TypeScript (112 of 246), Python (103 of 246), React (92 of 246), Machine Learning (61 of 246), PostgreSQL (44 of 246), JavaScript (41 of 246)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Join an AI-powered productivity software team building dependable agent capabilities for real-world work. You will help turn advances in reasoning, planning, memory, and tool use into useful product experiences that users can trust.

What You'll Do

  • Explore advances in agent technology and identify opportunities to solve user problems.
  • Translate model capabilities into reliable, reusable skills and workflows.
  • Build and evolve Python agent systems, including orchestration, context management, retries, and error recovery.
  • Design integrations with email, calendars, messaging, browsers, documents, CRMs, and other business software.
  • Own capabilities across Python services, Django, APIs, React interfaces, data models, background jobs, and production operations.
  • Create platform abstractions that make capabilities easier to compose, extend, and maintain.
  • Improve latency, cost, reliability, and safety in high-volume agent execution.
  • Use evaluations, production traces, and user feedback to find and fix quality issues.
  • Set technical direction for ambiguous problems and contribute to design reviews.

What We're Looking For

  • At least 5 years of experience building and operating production software systems end to end.
  • Strong Python skills and experience with Django, APIs, React, and TypeScript.
  • Hands-on experience with agent systems, including planning, tool calling, structured outputs, context and state management, retries, and orchestration.
  • Experience building external API and business software integrations.
  • Ability to turn loosely defined user needs into clear product capabilities and reusable system abstractions.
  • Experience debugging across prompts, model outputs, application code, databases, and APIs, and using production signals to guide improvements.
  • Background in LLMs, model evaluation, or prompt engineering in production is valuable, as is experience optimizing distributed systems for latency, cost, and reliability.
  • A degree from a strong engineering program, plus startup experience or a demonstrated record of career progression.

Compensation & Benefits

Visa sponsorship is not available.

Location

On-site in Palo Alto, United States.

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