- Teach live online sessions on Agentic AI to small cohorts, centered on the Claude Code agentic-engineering stack
- Build hands-on, project-based lessons (real working agents built the Claude Code way, not slides)
- Mentor learners through assignments and code review
Must have solid hands-on experience with the technologies that power
Claude Code:
- Claude Code & the Claude Agent SDK building and running agentic coding workflows (CLI / codebase-aware agents that automate real dev tasks)
- MCP (Model Context Protocol) connecting and/or building MCP servers and custom tools
- Anthropic API + tool use / function calling the core agent loop (plan act observe)
- Core agentic building blocks: multi-step autonomous agents, subagents & orchestration, context engineering, RAG
- Strong spoken English and the ability to explain clearly
- Comfortable teaching live (camera on, screen share)
Nice to have
- Familiarity with other agent frameworks (LangChain / LangGraph, CrewAI, AutoGen) and other model SDKs
- Prior teaching / mentoring / content experience
- Production ML or software engineering background
How to apply we ONLY review applications submitted through our form, which requires BOTH:
(1) a link to an agent you personally built, and
(2) a 3-5 min screen recording of you teaching one agentic AI concept. Resume-only applications will not be reviewed.