Source-listed Job

Agent Engineer

About the Role Join a product engineering team building dependable AI agent capabilities for productivity workflows. You will turn advances in reasoning, planning, memory, and tool use into reliable features that users can trust w...

Job Remote Source description available
Clera (ashby) Palo Alto, California, United States Source published Oct 23, 2026 Source retrieved Oct 24, 2026
Source: Clera (ashby) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
Description from the source The source description is formatted below for discovery. The provider owns the original wording and may change its requirements or close applications.
EmploymentFull Time
Work modeRemote / location-flexible
CountryUnited States
DepartmentEngineering

Overview

About the Role Join a product engineering team building dependable AI agent capabilities for productivity workflows. You will turn advances in reasoning, planning, memory, and tool use into reliable features that users can trust with real work. What You'll Do Explore new agent capabilities and identify useful product opportunities. Build reusable skills and workflows that address practical user needs. Develop a Python agent harness for orchestration, context management, structured outputs, retries, and error recovery. Design integrations with email, calendars, messaging platforms, browsers, documents, CRMs, and other business software. Own capabilities across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and production operations. Create platform abstractions that make agent capabilities easier to compose and maintain. Improve latency, c

Full job description

Full Job Description

About the Role

Join a product engineering team building dependable AI agent capabilities for productivity workflows. You will turn advances in reasoning, planning, memory, and tool use into reliable features that users can trust with real work.

What You'll Do

  • Explore new agent capabilities and identify useful product opportunities.

  • Build reusable skills and workflows that address practical user needs.

  • Develop a Python agent harness for orchestration, context management, structured outputs, retries, and error recovery.

  • Design integrations with email, calendars, messaging platforms, browsers, documents, CRMs, and other business software.

  • Own capabilities across Python and Django services, APIs, React interfaces, data models, background jobs, observability, and production operations.

  • Create platform abstractions that make agent capabilities easier to compose and maintain.

  • Improve latency, cost, reliability, and safety across agent execution.

  • Use evaluations, production traces, and user feedback to diagnose issues and improve system quality.

  • 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, including maintainable production code and asynchronous systems; 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 integrations with external APIs and business software.

  • Ability to translate evolving technology and loosely defined user needs into practical product features.

  • Experience designing reusable systems and platform abstractions, and owning production observability, debugging, and iteration.

  • Strong analytical debugging skills across prompts, model outputs, application code, databases, APIs, and user interactions.

  • Background in LLMs, prompt engineering, or model evaluation in production is useful, as is experience optimizing distributed systems or building autonomous systems and workflow automation.

  • Strong computer science and engineering fundamentals, clear communication, and a record of sustained growth in a role or startup experience.

Compensation & Benefits

Visa sponsorship is not available.

Location

On-site in Palo Alto, California, United States.

Tips for this job

Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.
Original authoritative source

JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Apply through JobOpportunity →

Browse current JobOpportunity listings from Clera (ashby) →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books