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README.md

AI System Design Interview Preparation

Interview prep for senior and staff AI engineering roles: 128 system design questions, answer frameworks with a worked mock-interview transcript, common pitfalls, nine whiteboard exercises, behavioral prep, a quick-answer FAQ, and August 2026 hiring trends.

What's new (August 2026): the question bank gained six August-2026 questions (rebuilding cost models after the first major inference price increase, capability-tiered access control, coding-agent supply-chain defense after the Shai-Hulud worm, reviewing agent plugins, securing a multi-tenant MCP server on the stateless spec, and shipping synthetic-content provenance now that EU and California transparency rules are enforceable) and now runs continuously Q1-Q128.

Before You Start

This folder assumes you already write production code and know LLM basics (tokens, context windows, embeddings, what RAG is). If those are shaky, spend a week in 01-foundations and the Courses guide first; interview prep on top of missing fundamentals produces fluent-sounding wrong answers, which is the worst possible outcome in a senior loop.

The files in this folder are designed to be read in order. Each builds on the last: questions teach the surface area, frameworks teach how to structure answers, pitfalls teach what kills offers, exercises rehearse the motion, behavioral covers the staff-level signal, and job-market trends cover the current hiring landscape.

Read in Order

flowchart TD
    A[Start prep] --> B{Time available}
    B -->|2 weeks| C[01 Question Bank]
    B -->|1 week| D[02 Answer Frameworks]
    B -->|3 days| E[03 Common Pitfalls]
    C --> F[02 Answer Frameworks]
    D --> G[04 Whiteboard Exercises]
    F --> G
    E --> G
    G --> H[05 Behavioral]
    H --> I[06 Job Market Trends 2026]
    I --> J[Interview day]
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Role-Specific Prep Paths

mindmap
  root((Role Prep))
    AI Engineer IC
      Question Bank Q1 to Q49
      Answer Frameworks
      Whiteboard exercises
    Staff or Principal
      Advanced sets Q50 to Q128
      Behavioral STAR-L
      Eval and memory exercises
    Applied Scientist
      Model Selection questions
      Evaluation questions
      Optimization questions
    PM or TPM for AI
      Common Pitfalls
      Job Market Trends 2026
      Answer Frameworks
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Files in This Folder

File Purpose
01-question-bank.md 128 real interview questions (Q1-Q128, continuously numbered) grouped by topic, with model answers and follow-ups (through August 2026).
02-answer-frameworks.md Five structured answer frameworks (SPIDER, ETA, tradeoff, debugging, STAR-L) plus a worked 45-minute SPIDER mock-interview transcript.
03-common-pitfalls.md Patterns that kill staff-level offers: hand-waving on tradeoffs, missing observability, ignoring failure modes.
04-whiteboard-exercises.md Nine system design exercises with worked solutions, including evaluation pipeline design and agent memory. The closest simulation of a real loop.
05-behavioral-for-ai-roles.md Behavioral prep for AI-specific scenarios with six worked STAR-L examples, compensation and leveling questions, and an out-loud practice guide.
06-job-market-trends-2026.md Role taxonomy, comp ranges, interview process patterns, and emerging titles (FDE, AI Eval Engineer, AI Reliability Engineer, MCP Engineer).
07-faq.md Short, direct answers to the most-asked questions about AI engineering, RAG, agents, models, eval, inference, memory, and security. Useful for quick reference and for newcomers to the field.

Companion Resources

Key Takeaways

  • The files are designed to be read in order; jumping straight to questions without absorbing answer frameworks leaves answers unstructured.
  • Whiteboard exercises (file 04) are the closest simulation to real interviews; do at least three before any loop.
  • Behavioral prep (file 05) is what separates staff candidates from senior candidates; do not skip it.
  • The August 2026 job market chapter (file 06) is a moat: candidates who know the hiring landscape can ask better questions and tailor stories.
  • Recheck this folder monthly; new question batches are added as hiring trends shift.