Top 50 LLM Agents Interview Questions

Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.

long contextcontext windowstate management

AmazonMiraklSelect Minds

Mitigate prompt injection and unsafe tool use in an enterprise LLM agent with clear controls, evaluation, and runtime safeguards.

HallucinationPrompt InjectionLLM Agents

GoogleAssort HealthCharlotte Staffing

Design guardrails for an autonomous LLM agent that limit harmful actions, resist prompt injection, and stop infinite loops.

HallucinationsafetyPrompt Injection

AmazonSelect MindsAccenture

Design a production agentic AI system with RAG, tool use, privacy controls, and evals for hallucination, prompt injection, and secure actions.

HallucinationPrompt EngineeringLLM Agents

IntuitOpenAIEvenUp

Design an LLM agent that can use internal tools safely under strict latency, cost, and hallucination constraints.

Structured ExtractionPrompt EngineeringLLM Agents

Recently asked

Scale

Explain how to use XML tags or JSON schemas to structure LLM reasoning, outputs, and evaluation for complex tasks.

Structured ExtractionPrompt EngineeringLLM Agents

Google