Top 50 LLM Evaluation Interview Questions

Discuss how you designed an LLM system for a business use case, including evaluation, hallucination control, and cost latency tradeoffs.

Structured ExtractionPrompt EngineeringLLM Evaluation

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AppleKlaviyoInvisible Agency

Discuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.

HallucinationPrompt InjectionLLM Evaluation

DellAgenticAmerican Express

Design and evaluate a RAG assistant over internal policy and delivery docs with strict latency, cost, and hallucination limits.

Prompt EngineeringRAGLLM Evaluation

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SiemensCity And County Of San FranciscoCae

Diagnose why a customer-facing LLM assistant is underperforming, using eval-first debugging across retrieval, prompting, safety, latency, and cost.

HallucinationPrompt EngineeringLLM Evaluation

Athina AiConnectlyDataVisor

Design a safe LLM workflow that explains prompt injection to technical customers without hallucinating or overstating security guarantees.

Prompt EngineeringPrompt InjectionLLM Evaluation

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OpenAIIntuitInvoca

Talk through a real generative AI project, focusing on architecture, evaluation, hallucination risk, and how you handled safety issues in practice.

Prompt EngineeringRAGLLM Evaluation

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XometryAmerican ExpressInstacart