18 system design walkthroughs, 60 knowledge questions with model answers, 5 applied scenarios, and a strategy playbook for AI engineer and forward deployed engineer interview loops.
Get fluent in the agent loop, retrieval, and tool protocols before you practise answering questions about them.
Say each answer out loud in under two minutes, then read the model answer and note what you missed.
Work a full design end to end: requirements, architecture, failure modes, evaluation, and cost. Then draw it in the Design Studio for an AI review.
Customer-style problems with a tradeoff at the centre, the kind FDE loops use to test judgement on a real deployment.
Run through the playbook for how each round is scored and what interviewers listen for.
"A chatbot is a single LLM call — input in, text out, stateless. An agent is an LLM inside a loop. The loop gives it tools, memory, and the ability to take actions in the world. The agent decides what to do next based on observations. The key difference is autonomy — an agent can reason, act, observe, and iterate until…
Read the full answer →"If the task is single-turn retrieval + generation — user asks a question, you find the answer in docs — RAG is cheaper, faster, and more predictable. I'd reach for agents only when: (1) the task requires multiple steps (2) it needs tool use (write operations, calculations, API calls), or (3) the solution path is not k…
Read the full answer →Design a Personal Assistant Agent · Design a Multi-Agent Orchestration System · Design a Shopping / Commerce Agent · Design a Customer Support Agent · Design a Text-to-SQL Agent · Design a Deep Research Agent · Design an LLM Gateway / Router · Design a Document Processing Agent · Design a Long-Term Memory System · Design an Enterprise Knowledge Agent · Design a Content Moderation Agent · Design an AI Coding Copilot · Design an Autonomous Coding Agent · Design an Eval & Guardrail Platform · Design a Computer-Use / Browser Agent · Design an AI On-Call / AIOps Agent · Design a Real-Time Voice Agent · Design a Synthetic Data Agent
Cost vs Latency · Code Leakage Prevention · RAG System Design · Autonomous Driving Agent · Movie Generation Workflow
Fundamentals & Architecture · Tradeoffs & Scenarios · Scale & Cost · Memory & State · Tool Design & MCP · Security & Compliance · Evaluation & Quality · Hard / Curveball
Interview Playbook · Quick Reference Card · Day-of Checklist · External Resources
