Technical interview guide

Multi-Agent Systems & Orchestration

Coordinating multiple specialized LLM agents to handle work that's too complex or too poorly-decomposed for a single agent loop.

Read: 45 min
Practice MCQs: 25
Interview QA: 25
Edition: v4
Editorial status: Reviewed
Relevant for: AI EngineerAgentic AI EngineerForward Deployed Engineer (FDE)

Scope: ReAct, Toolformer, Reflexion, CAMEL, AutoGen, MetaGPT, AgentVerse, ChatDev, autonomous-agent survey, W3C Trace Context, Model Cards, NIST GenAI, and OWASP Excessive Agency/Prompt Injection references reviewed 2026-09-04.

Interview QA

Treat each question like a live interview question: answer out loud first (structure, assumptions, tradeoffs), then open the model answer to spot gaps and rehearse a tighter follow-up.

Curated: 2026-10-05 · Written: 2026-10-05 · Reviewed: 2026-10-03

QA-1

Decide between one agent, a deterministic workflow, and multiple agents.

QA-2

Model an agent workflow as a graph.

QA-3

Design secure supervisor-to-worker delegation.

QA-4

Write a robust worker task contract.

QA-5

Design and evaluate an agent router.

QA-6

Design a multi-agent blackboard.

QA-7

Design reliable agent-to-agent messaging.

QA-8

Schedule parallel agent work safely.

QA-9

Design budget enforcement for multi-agent execution.

QA-10

Implement cancellation in an agent graph.

QA-11

Design a defensible result-aggregation strategy.

QA-12

Add a critic-verifier stage without creating an infinite loop.

QA-13

Design human-in-the-loop escalation.

QA-14

Detect and recover from deadlock and livelock.

QA-15

How do you design deterministic checkpointing and replay for multi-agent workflows when an individual agent fails mid-execution?

QA-16

Recover a multi-agent workflow after ambiguous commit.

QA-17

Design a saga for agent-driven external changes.

QA-18

How do you benchmark trajectory accuracy versus final-state correctness when evaluating multi-step agent pipelines?

QA-19

Design capability isolation in a multi-agent system.

QA-20

Defend cross-agent communication from injection.

QA-21

Instrument multi-agent observability.

QA-22

Build an end-to-end multi-agent evaluation suite.

QA-23

Create a multi-agent release manifest.

QA-24

Roll out a multi-agent workflow safely.

QA-25