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Design a system to retrieve similar scenes from a large video corpus given a query clip.

Video search is image search with a time axis, and the time axis is the whole problem. A strong answer embeds frames, pools them into scene vectors, indexes with ANN at billion scale, and explains how a multimodal query (clip, text, or both) finds the right moment, not just the right video.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

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Applied AI Engineering·The interviewPremium14mDriving the design conversationA design round is a conversation you are expected to lead, not a question you answer. This lesson is the shape that works, the four moments that decide the outcome, and the two classic ways strong candidates lose one.Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.

UP NEXT ON YOUR JOURNEY

Next in this trackDesign an IDE code assistant (Copilot-style) that completes code as the developer types.Next in this trackDesign an enterprise semantic search system over a company's internal documents and tools.Next in this trackDesign a document summarization pipeline that handles long documents at high throughput.

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