AI system-design interviews no longer ask only about YouTube or Uber: they ask you to design chatbots, document assistants, code reviewers, and agents. The key is not memorizing diagrams, but reasoning about quality, cost, latency, and safety. 🤖
A reusable framework has seven steps: clarify requirements, estimate load and tokens, sketch the architecture, deep-dive into components, explain trade-offs, anticipate failures, and describe evolution. A typical architecture combines input, privacy, orchestration, RAG retrieval, a model, guardrails, and observability.
💡 Explanation in a nutshell#
Before drawing boxes, ask what data exists, what latency is needed, how much error is acceptable, and what scale is expected. Then explain why each piece exists: RAG supplies context, routing controls costs, guardrails reduce risk, and evaluation proves whether the system works.
Discuss prompt injection, hallucinations, provider outages, embedding drift, and tenant isolation. Real experience and trade-offs matter more than listing technologies.
More information at the link 👇
