The complete prep guide for AI Engineers, Forward Deployed Engineers, GenAI Engineers, and ML Engineers. From LLM fundamentals and agentic patterns to RAG pipelines, MCP, system design, and production architecture — with real interview questions from top companies.
Content curated and prepared by industry FDE engineers from
Whether you're targeting AI Engineer, Forward Deployed Engineer, GenAI Engineer, or ML Engineer roles — this guide covers LLM internals, agentic patterns, RAG pipelines, MCP, system design, and production architecture with real interview questions from top companies. From fundamentals to staff-level.
Five core areas organized for focused, progressive study
LLM foundations, agent patterns (ReAct, Reflexion, Planner-Executor), Claude SDK, and evaluation
RAG pipeline architecture — chunking, embeddings, retrieval, reranking — plus MCP protocol deep dive
Architecture patterns, security, production systems, deployment, scaling, and staff-level topics
Real FDE scenarios, worked problems, behavioral frameworks, 30 questions, and day-of checklists
Core language skills, async patterns, data structures, and interview coding patterns
Roles in agentic systems, AI infrastructure, and GenAI product engineering are growing fast across the industry