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AI engineer interview playbooks
Practical answer frameworks, production tradeoffs, and follow-up angles for real AI engineering interviews. Read them like field notes, not marketing pages.
Editors' pick · 01
Staff
High freq
Premium
How do you evaluate a RAG system before shipping it to production?
Open by separating retrieval evaluation from generation evaluation. They fail for different reasons, so I do not score them as one fuzzy quality number. Then I commit to one concrete release path: a frozen golden set…
⏱ 18 min
▣ Retrieval & RAG
⌗ RAG · Evaluation · Shadow Traffic · Golden Sets · Rollouts
P · 02
Senior
High
Free
What is Retrieval-Augmented Generation (RAG), and why is it important?
The trap here is giving a buzzword answer about embeddings and vector databases. The interviewer is really testing whether you understand what RAG buys in production: freshness, private knowledge access, attribution,…
⏱ 10 min
▣ Retrieval & RAG