The RoleYou'll build the agent systems at the core of our product. These systems turn customer goals into reliable, multi-step execution across real tools and services.
This is not about building demos. You'll work on agents that operate under real constraints: incomplete information, external failures, limited budgets, and unpredictable traffic. You'll own how they plan, use tools, recover from errors, and improve over time.
Responsibilities- Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data.
- Improve reliability on long-running, multi-step tasks, including failure recovery.
- Build the loops that let agents improve with real use, so performance compounds instead of staying frozen.
- Develop evaluations that measure agent performance and resist being gamed.
- Make practical tradeoffs between quality, latency, cost, and complexity.
Qualifications- 5+ years building production ML or backend systems, including taking LLM or agent applications from prototype to production.
- Strong understanding of agent design: planning, reasoning, tool use, orchestration, and memory.
- Experience building rigorous evaluation systems, plus execution tracing and observability for agents, with a focus on reproducibility.
- Familiarity with the OpenAI Responses API, MCP, and server- versus client-side execution.
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Benefits- Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
- Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
- Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
- Well-Being: Comprehensive medical benefits and generous paid time off.
