Interview Practice
Rehearse AI engineering interviews in seven round formats. Each round has three levels: the level describes the task in the room, and every linked question keeps its own difficulty.
Technical Screen
Typical time: 30-45 minutes, 3-5 questions
Explain, compare, and defend core AI engineering concepts.
17 questions
4 questions
4 questions
Not Started
0%
Live Coding
Typical time: 45-60 minutes
Implement a small, testable piece of an AI application against fixtures.
2 questions
12 questions
3 questions
Not Started
0%
Debugging & Evaluation
Typical time: 45 minutes
Locate a failure stage by stage and prove the fix with evidence.
4 questions
5 questions
6 questions
Not Started
0%
AI System Design
Typical time: 45-60 minutes
Design an AI-powered system with explicit guarantees, evaluation, and operations.
3 questions
3 questions
13 questions
Not Started
0%
Behavioral & Project Deep Dive
Typical time: 30-45 minutes
Walk through AI work you did, your exact role, and what you learned.
4 lessons
5 lessons
3 questions, 6 lessons
Not Started
0%
Take-home & Review
Typical time: 2-4 hours plus a 45-minute review
Build a small feature with tests and a README, then defend it in review.
5 questions
1 question
4 questions
Not Started
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Leadership Scenarios
Typical time: 45 minutes, 1-2 cases
Decide, measure, and lead how a team uses AI, as a lead or manager.
6 questions, 4 lessons
6 questions, 4 lessons
4 questions, 5 lessons
Not Started
0%
How to practice
- Alone: set a timer, answer out loud or in writing before you open any reference answer, then score yourself with the rubric.
- With a peer: they play the interviewer, give you only the prompt, ask the follow-ups, and score you before you compare notes.
- Agree on the time and the tools before you start, keep a note of every hint you needed, and practice the weakest dimension first next time.
Suggested practice sequences
Practice plans, not hiring loops. Do not try every round in one session.
Foundations
Accurate concepts and stage-by-stage diagnosis
Applied engineer
Implementation, testing, and lifecycle reasoning
Senior or lead
Decisions under uncertainty, failure recovery, and ownership
Team or tech lead
Where AI fits a team, the evidence behind a decision, and leading the change
How rounds are scored
Score each dimension 0, 1, or 2. A round is interview ready at 8 of 10 with no 0. The thresholds are editorial estimates.
| Dimension | 0 | 1 | 2 |
|---|---|---|---|
| Problem framing | Jumps to a solution or solves the wrong problem | Restates the problem but misses key constraints or success criteria | Clarifies goals, constraints, and success criteria before solving |
| Correctness | Key claims or code are wrong | Mostly right with gaps or unhandled cases | Correct and precise, including edge cases |
| Evidence or testing | No way to verify the answer | Generic testing ideas | Concrete fixtures, metrics, or traces that would confirm or refute the approach |
| Trade-offs | One option, no alternatives | Names alternatives superficially | Compares options against the stated constraints and says what would change the decision |
| Communication | Disorganized or unclear | Understandable but meandering | Structured and concise; states assumptions; checks in with the interviewer |
Some mistakes count as a 0 whatever else goes well: removing an authorization check to fix retrieval, claiming that a timeout proves a side effect failed, or presenting missing evidence as certain. Practice that skill before the next session.