technical
LLM system-design rounds — design a RAG pipeline, an agentic workflow, or a multi-tenant inference platform. Practice the architectural decisions, latency budgets, and cost trade-offs that hiring managers probe.
Sample questions
These are the kinds of questions you'll drill. Real mock rounds will generate many more — tailored to the exact JD you paste in.
Design a RAG system for a 100M-document enterprise corpus that returns answers in under 2 seconds.
How would you architect an agentic workflow that calls 5+ tools per request safely?
Walk me through choosing between a closed-model API, a hosted open-weight model, and self-hosted inference.
Estimate the cost of serving 10M LLM requests per day and where you'd optimise first.
How do you handle prompt-injection attacks in a customer-facing LLM product?
Reading LLM System Design questions isn't the same as answering them live. You need the rep — the pause, the clarifying question, the moment where you realize you forgot the framework. We put you in that exact spot, then show you what a strong answer would have looked like.
Related topics
React
Hooks, rendering, and real-world patterns.
System Design
Scale, trade-offs, and clear reasoning.
SQL
Joins, indexes, and query plans.
Data Structures & Algorithms
Arrays, graphs, trees, and the classics.
Behavioural
STAR answers that actually land.
Leadership
Influence without authority, grown-up feedback.
Paste the JD, pick your topics, and go. Full session, full feedback, no fluff.
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