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.