2 months ago
Responsibilities
- Design agent architectures for planning, reasoning, tool use, memory, and integrations with external systems and data.
- Improve reliability and failure recovery for long-running, multi-step tasks.
- Build feedback loops that enable agents to improve through real-world use.
- Develop rigorous, game-resistant evaluations of agent performance.
- Build execution tracing and observability systems with a focus on reproducibility.
- Balance quality, latency, cost, and system complexity.
Requirements
- 5+ years of experience building production ML or backend systems.
- Experience taking LLM or agent applications from prototype to production.
- Strong understanding of agent planning, reasoning, tool use, orchestration, and memory.
- Experience building rigorous evaluation systems, execution tracing, and observability for agents.
- Familiarity with the OpenAI Responses API, MCP, and server-side versus client-side execution.
- Adaptability, strong collaboration, and willingness to develop bold ideas.
Benefits
- Flexible work options including in-person collaboration in the Bay Area, distributed global-first work, and team offsites.
- Annual Adaption Passport travel stipend to explore a country never previously visited.
- Weekly lunch stipend for take-out or grocery delivery.
- Comprehensive medical benefits and generous paid time off.
Categories
About adaption
Adaption builds business-intelligence tools and guidance for climate-risk adaptation, helping companies and communities assess exposure and plan resilience measures. The privately held firm offers a software platform that translates environmental and infrastructure data into strategic insights, plus advisory support to turn findings into actionable plans. It serves organizations facing weather, regulatory, and supply-chain disruptions that need decision support for adaptation projects and investment planning.