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Interview Prep
Everything for the interview itself: the questions that get asked, the structures that make answers land, the mistakes that lose offers, and seven worked whiteboard problems
What is in here
Start with the answer frameworks, then read the pitfalls before you open the question bank so you know what you are avoiding. The whiteboard exercises are full 35-minute walkthroughs — do them under time, out loud. Written for engineers who ship AI systems but have never had that work interrogated for forty-five minutes straight.
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10 min
Answer Frameworks
Five reusable answer structures — SPIDER for system design, ETA for concepts, STAR-L for behavioral — plus what to say when you don't know
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02
11 min
Common Pitfalls
The mistakes that sink otherwise strong candidates: skipping the data pipeline, hand-waving evaluation, over-designing, and talking past the interviewer's actual question
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03
99 min
Interview Question Bank
Eighty numbered questions across RAG, agents, model selection, optimization, evaluation and MLOps, each paired with what interviewers are listening for in the answer
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04
15 min
Whiteboard Exercises
Seven timed whiteboard problems — enterprise RAG, support chatbot, moderation, multi-tenant platform — worked end to end with the minute-by-minute allocation each needs
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05
11 min
Behavioral Questions for AI Roles
Behavioral rounds probe how you handle ambiguity, models that regressed in production, and cross-functional friction; here are the themes, sample answers, and questions to ask back
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