ashby
Agent Systems Engineer
Adaption Labs
San Francisco, USA
Full-time
Mid
Hybrid
Discovered 1 weeks ago
openai
Free
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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.
- 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.
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