About this 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.