Technical AI Trainer

📋 Description Design and deliver hands-on AI training across Development, QA, and DevOps. Own and evolve the training curriculum to stay current. Review trainees' code and exercises, giving practical feedback. Stay hands-on with AI tools, coding assistants, MCP servers, and AI-driven CI/CD. Deliver practical training in AI-assisted software delivery, including coding, tests, and CI/CD. Apply broad knowledge across the full SDLC, not limited to a single area. 🎯 Requirements 6–9 years of hands-on software engineering across the full SDLC. 2+ years daily hands-on use of AI coding tools (Claude Code, GitHub Copilot, or equivalent). 1+ year of AI-assisted test automation experience (e.g., Playwright). 1+ year of AI-assisted code review experience. 3+ years CI/CD pipeline configuration, including 6–12 months of AI/MCP-driven automation knowledge. 2+ years coaching, mentoring, or delivering technical training. 🎁 Benefits 6–12 months MCP server experience (GitHub MCP Server) and agent-based automation. 1+ year curriculum or training content development experience. 1+ year experience reviewing code or technical exercises. 2+ years DevOps auto-deployment or infra automation; strong CI/CD fundamentals. Experience leading projects. A strong one-to-one mentoring track record.