Agent Systems Engineer

adaption • San Francisco, CA

2d • Hybrid

About The Position

You'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.

Requirements

• 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.
• Great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas.
• Adaptable.

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.

Benefits

• Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
• Annual travel stipend to explore a country you've never visited.
• Weekly meal allowance for take-out or grocery delivery.
• Comprehensive medical benefits and generous paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed