- Own the AI foundation product teams build on including model selection, routing, model proxy layer, context management, and tool design.
- Own eval infrastructure and work with customers and finance domain experts to define and encode quality benchmarks.
- Ship agentic features end to end from v0 through optimization loops including prompt and context engineering, caching, and subagent patterns.
- Build observability into agent behavior to profile systems, identify bottlenecks, and drive data-backed improvements.
- Track developments in agentic systems and integrate proven practices into development workflows.
Content managementPrompt Engineering