16 AI Engineer Interview Questions — Part 3

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Part 1: AI Engineer Interview Questions
Part 2: AI Engineer Interview Questions
Part 3: AI Engineer Interview Questions
Part 4: AI Engineer Interview Questions
Part5: AI Engineer Interview Questions

A practical framework for debugging hallucinations in production RAG systems — from retrieval and chunking to prompts, generation, evaluation, and governance

One of the most interesting questions I have seen in a GenAI interview is:

“Your RAG system is retrieving relevant chunks, but the LLM is still hallucinating. How would you debug it?”

This question sounds simple.

But there is a trap.

Many candidates immediately say:

“I would improve the embeddings.”

Or:

“I would change the LLM.”

Or:

“I would increase the top-K.”

Those might help.

But they are not necessarily the right first steps.

If the retriever is already returning relevant information, then the problem may exist somewhere else in the pipeline.

The real challenge is to systematically identify where the grounded information is being lost between retrieval and…