Build and maintain internal agentic AI platforms and developer-facing tools that integrate LLMs with engineering workflows. Partner with product and infra teams to design standards for agent deployment, reliability, evals, security, onboarding, and adoption measurement to improve developer productivity.

Build and maintain internal agentic AI platforms and developer tools, including skills, plugins, MCP servers, integrations, evaluation standards, secure tool-access patterns, and onboarding resources. Partner with engineering, infrastructure, DevOps, and QA teams to identify AI opportunities, improve developer workflows, measure adoption and impact, and support organizational AI enablement through learning programs and change management.

Design and build agentic AI features by integrating LLM APIs into product workflows. Write well-tested TypeScript across the stack, implement tool invocation and multi-step reasoning flows, collaborate with Product and Design, and improve reliability and performance of agentic systems while documenting findings.