Agent Engineer
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Key details
- Location
- Palo Alto, CA, United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Software engineering
- Focus area
- Frontend
- Posted
- 4d ago
Skills
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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