Hands-on familiarity with AI coding assistants such as Claude Code , and a strong grasp of how the modern AI-driven development lifecycle (AI DLC) works, including how planning, implementation, review, testing, and deployment change when AI agents participate. Hands-on experience building and deploying applications using LLMs and agentic technologies (e.g., prompt engineering, RAG , function/tool calling, agent orchestration frameworks, MCP or similar protocols ).