Interview Practice
Behavioral & Project Deep Dive
Walk through AI work you did, your exact role, and what you learned.
What interviewers evaluate
- A clear role
- Measurable impact
- Honesty about uncertainty
- Accountability and reflection
What you will be asked
Walk through an AI feature you worked on and your exact role.
In the room
A conversation around one main story, with follow-ups on what you did, what the system did, and what you learned.
Timebox
30-45 minutes
Mock interview
A timed answer to a random question from this level, then the reference answer and your score.
How to practice
- Read the linked lessons on the STAR method and story banking, then draft two AI project stories.
- Say "I" for your own work and name what others did.
- With a peer: they ask "what exactly did you do?" after every claim.
What a strong answer shows
- A short setup and a clear statement of your role
- What you built or decided, in concrete terms
- An honest outcome, including what did not work
- One thing you would do differently
Behavioral Interview lessons
AI interview prompts
Walk me through an AI feature you shipped and your exact role.
A strong answer covers
- Names the user problem and why a model was the right tool
- Separates your own work from the team's
- Describes one technical decision you made and why
- Gives a measured outcome, or says honestly that it was not measured
Tell me about a time a model surprised you in a project. How did you find out, and what did you do next?
A strong answer covers
- Describes the surprise concretely: an example input and what the model returned
- Explains how you checked whether it was a one-off or a pattern
- Says what you changed (the prompt, the data, a check, or the product copy) and who you told
- Names the test you would now write earlier
This field changes every month. How do you keep up, and how do you decide which new model or tool to try?
A strong answer covers
- Describes a concrete routine and the sources you trust
- Gives one example of something you tried and then adopted or dropped, with the reason
- Tests claims on your own small examples instead of repeating a vendor's benchmark
- Shows judgment about what not to chase
Follow-up questions
An interviewer may ask these next.
- What would have happened without the model?
- How did you know it was working?
- What was the hardest bug?
Scoring rubric
Interview ready at 8 of 10 with no 0.
| Dimension | 0 | 1 | 2 |
|---|---|---|---|
| Situation and role | No clear situation, or your own role is unclear | Situation is clear but your own contribution is vague | Sets the scene briefly and states exactly what you owned |
| Accuracy and honesty | Overstates results or hides uncertainty | Mostly accurate with some unsupported claims | Precise about what happened, what is known, and what is not |
| Evidence of impact | No outcome or measure | Outcome stated without a measure or baseline | Measurable outcome against a baseline, with how it was measured |
| Decision rationale | No reasoning behind the decisions | Reasons given but alternatives not considered | Explains the options, the constraints, and why this choice won |
| Communication | Disorganized or unclear | Understandable but meandering | Structured and concise; answers the question that was asked |