Top 50
Topic roadmap
Updated weekly · Last refresh Nov 1

Top 50 agent design Interview Questions

The most frequently asked agent design questions across all roles and companies, ranked by real interview frequency. Updated daily.

50questions
~7htotal time
62companies covered
Track your progressSign up free to work through all 50 questions and resume where you left off.
Start practicing free →
1
agent workflowsStart here. 31 questions · ~248 min
Design an Agent System for a Multi-System WorkflowHard

Design an agent that investigates, summarizes, and executes work across four to five independent systems.

agent workflowsbackend integrationagent designAmexAmerican Express
System Design: Single vs Multi-AgentHard
Recently asked

Assess when a single agent or multi-agent architecture is appropriate, including orchestration, reliability, cost, and evaluation tradeoffs.

agent workflowsmulti-agent systemsagent designCognizantAAstemo AmericasHHCLTech - Australia and New Zealand
Orchestration Framework Trade-offsHard
Recently asked

Compare LangChain, LangGraph, and custom orchestration for reliable, observable, production-grade agent workflows.

agent workflowsTrade-offsproduction systemsAutodeskIIBM IndiaTuring
Describe How Agents Gain CapabilitiesMedium

Explain how agents acquire, select, authorize, and safely execute capabilities through tools, APIs, and feedback loops.

agent workflowsagent designAPI interactionAmexAmerican Express
Agent Memory and Context PersistenceHard
Recently asked

Design memory and context persistence for a long-running agent handling multi-step tasks.

agent workflowsagentic systemsagent designCitiMicrosoftInformation Technology Senior Management Forum
More agent workflows questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
2
agentic systems4 questions · ~32 min
More agentic systems questions with a free account
3
More topics15 questions · ~120 min
Explain Agents, LLMs, and RAGHard

Explain how agents, LLMs, and RAG differ, and when each belongs in an ML system.

factual groundingarchitecture patternsagent designAmerican ExpressAmex
Own Endpoints and EntitlementsHard
Recently asked

Design how an AI assistant exposes tools, enforces entitlements, and separates agents, orchestrator, and MCP server responsibilities.

authorizationapi gatewayagent designJPMorganChase
Evaluating Multi-Agent SystemsHard
Recently asked

Design an evaluation strategy for a multi-agent system operating in a real-world application.

performance evaluationmulti-agent systemsagent designHHuaweiNNetbuilderAnduril
More questions with a free account
The finish line: interview-readyComplete all 50 questions to finish this plan.