Agent Systems Engineer

The Role

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.

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.