GenAI system design interviews are a different category from classic backend design rounds. You are not diagramming a CRUD app with a load balancer, a cache, and a sharded database. You are designing a system built around probabilistic model outputs, expensive inference, and retrieval quality that can make or break the answer.

If you are preparing for these interviews, especially for AI-heavy teams, the core skill is being able to design a RAG pipeline and explain the trade-offs clearly. The original PracHub guide on this topic is a solid reference if you want the interview-focused version: GenAI & LLM System Design Interview Guide (2026) .

What changes in a GenAI system design interview

Traditional system design interviews usually focus on consistency, throughput, database partitioning, and API design.…