Hands-on experience building agentic and tool-calling systems using frameworks such as LangGraph, LangChain, AutoGen, or Mosaic AI, including structured outputs, function calling, API or MCP integrations, end-to-end implementation, and behavioral control design, with the ability to describe a specific implementation end to end and the controls that constrained its behavior. Azure OpenAI, OpenAI, Anthropic, or comparable model APIs in a production setting, including cost and latency management, and familiarity with AI Gateway or comparable LLM governance capabilities such as approved-model routing, usage monitoring, audit logging, cost attribution, and rate limits.