Agent Design interview questions
Architect agentic systems: tool interfaces, guardrails, memory, cost and latency budgets, and designing for failure in multi-agent workflows.
26 questions7 free to practice19 company-verified (Pro)
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- ReAct Prompting: Interleaving Reasoning Thoughts with Action Execution Loops
- Agent Memory Systems: Short-Term, Long-Term, Episodic Types
- AI Agent Design — ReAct Loop and Tool Set
- Agent Orchestration Architecture Design and Implementation Patterns
- What fallback strategy do you use when an LLM fails mid-task?
- How do you make an AI system more deterministic and less brittle?
- How do you build and maintain memory in LLM applications?
Company-verified Pro
Real Agent Design questions reported from interviews at 50+ AI companies, with the golden answer and full production scoring. Unlock with Pro →
- Hierarchical cache breakpoints: system prompt, tool definitions, context windows, query batches
- LLM Agent Tool Calls Exceed Context Limit Token Budget
- Building Customer Support Agent Evaluation Harness: Metrics Design and Contamination Prevention
- Infinite Loop Detection: Root Cause Analysis and Design Prevention
- Automated Citation Fabrication Detection and Remediation Pipeline Architecture
- Streaming LLM tool calls: partial parsing, client buffering, progressive UI render
- Next Word Prediction System Architecture Design
- Location-based job recommendation system for repeat user searches
- Audio Denoising Pipeline With Spectral And Temporal Filtering
- Healthcare Patient Medical History Summarization System Design
- Personalized AI chatbot reducing support tickets through proactive help
- Concurrent dictionary writes cause data loss without synchronization locks
- Spam Detection System Design for Pinterest Platform
- Color preference prediction system for sponsored product recommendations.
- Personalized Short Video Feed with Real-Time Ranking Algorithm
- Multi-Agent Code Review Orchestration for Large Codebases Fast
- Adaptive agent architecture with dynamic task learning capabilities
- Insurance Claims Agent with RAG, Cost-Optimized LLM Integration
- Design a multi-agent code review system
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