Questions 201–274 of 274

  1. How would you configure a sentiment analysis solution for a call center?

    Asked once · last asked Sep 22 · Scenario · Mid-level

  2. Why use a separate intent classifier instead of letting the LLM decide tool invocation through native function calling?

    Asked once · last asked Sep 22 · Concept · Senior

  3. How do you normalize user queries to a common cache key when the wording is different but the meaning is the same?

    Asked once · last asked Sep 22 · Design · Senior

  4. If 40% of monthly GenAI cost comes from external tool calls, what would be the top three optimizations you would implement?

    Asked once · last asked Sep 22 · Scenario · Senior

  5. How would you design a RAG tool for code intelligence?

    Asked once · last asked Sep 22 · Design · Mid-level

  6. How would you design a RAG pipeline to answer questions about customer calls?

    Asked once · last asked Sep 22 · Design · Mid-level

  7. When would you run an LLM locally rather than use a third-party API?

    Asked once · last asked Sep 23 · Scenario · Senior

  8. How would you scale agentic AI projects across an enterprise, and what would distinguish a particularly innovative project?

    Asked once · last asked Sep 23 · Behavioral · Senior

    Other ways it was asked
    • “How have you scaled agentic AI projects across an enterprise, and what made your newest or most innovative project distinctive?”

  9. How would you refactor a Python pipeline that preprocesses raw prompts, calls an LLM API, and produces structured JSON to scale from hundreds to hundreds of thousands of items per hour while remaining readable, modular, performant, and memory-aware?

    Asked once · last asked Sep 24 · Design · Senior

    Other ways it was asked
    • “How would you refactor a Python text transformation pipeline that ingests raw prompts, preprocesses them, calls an LLM API, and produces structured JSON, so it can scale from hundreds to hundreds of thousands of items per hour while remaining readable, modular, performant, and memory-aware?”

  10. How would you design an orchestrator to keep an LLM pipeline resilient and performant during API outages or timeouts?

    Asked once · last asked Sep 24 · Scenario · Mid-level

  11. How would you compose an agentic AI orchestrator where a Python service sends a prompt to an LLM, interprets response codes, and conditionally calls two external tools, while handling tool failures and maintaining transactional consistency as requirements evolve?

    Asked once · last asked Sep 24 · Design · Senior

  12. How would you architect a healthcare RAG system that ingests patient medical histories and recommends tests, medications, or supplements?

    Asked once · last asked Sep 24 · Design · Senior

  13. What cost factors do you consider when designing and running AI inference workloads?

    Asked once · last asked Sep 24 · Scenario · Senior

  14. Why do we need an agent or LLM if the application has direct access to the SQL database?

    Asked once · last asked Sep 25 · Design · Senior

  15. Why use an agent and LLM tools for SQL retrieval when a simpler direct database design is enough?

    Asked once · last asked Sep 25 · Design · Senior

  16. How would you design a production RAG pipeline for 5,000,000 enterprise documents?

    Asked once · last asked Sep 27 · Design · Senior

  17. How would you design the architecture for a production identity AI system?

    Asked once · last asked Sep 27 · Design · Senior

  18. How would you design and deploy an agentic AI solution in production, including its architecture and tools?

    Asked once · last asked Sep 28 · Design · Senior

  19. How would you advise a CIO deciding between cloud and on-premise deployment for an agentic AI use case?

    Asked once · last asked Sep 28 · Scenario · Senior

  20. What changes when taking AI from pilot to production, and what capabilities are needed at each stage?

    Asked once · last asked Sep 28 · Concept · Senior

  21. How would you design a telephone agent end to end, from an incoming call through generating a response?

    Asked once · last asked Sep 29 · Design · Mid-level

  22. Which parts of a telephone agent are hardest to make reliable?

    Asked once · last asked Sep 29 · Scenario · Mid-level

  23. How would you approach the technical setup for an AI-driven CRM and agent solution?

    Asked once · last asked Sep 29 · Design · Senior

    Other ways it was asked
    • “How are you approaching the technical setup for an AI-driven CRM and agent solution?”

  24. What security parameters do you consider for the chatbot and customer-data flow?

    Asked once · last asked Sep 30 · Design · Senior

  25. How would a chatbot check customer data to distinguish existing customers from new customers?

    Asked once · last asked Sep 30 · Design · Mid-level

    Other ways it was asked
    • “What data points would you use to determine whether a chatbot visitor is an existing customer or a new customer?”
    • “How would a chatbot identify existing and new customers, and route each group through the appropriate conversation path?”

  26. How would you reduce latency in a live voice agent?

    Asked once · last asked Sep 30 · Scenario · Senior

  27. How would you manage subsecond response latency in voice agents, including WebSocket communication and fallback handling?

    Asked once · last asked Sep 30 · Scenario · Senior

  28. What factors would lead you to build a context-recall solution rather than use an existing product?

    Asked once · last asked Oct 1 · Design · Senior

  29. How would you build cloud infrastructure for an agentic AI application?

    Asked once · last asked Oct 1 · Design · Senior

  30. How would you implement model routing, and how should a classifier decide which model to use?

    Asked once · last asked Oct 6 · Design · Senior

  31. How would you evaluate trade-offs among cost, latency, and answer quality in an LLM routing system, and what metrics would you track?

    Asked once · last asked Oct 6 · Scenario · Senior

  32. How would you design a text-to-SQL pipeline for live database analytics, such as finding total sales from Delhi in the last month?

    Asked once · last asked Oct 7 · Design · Senior

  33. How would you reduce the cost and optimize real-time transcript processing beyond optimizing the LLM itself?

    Asked once · last asked Oct 7 · Design · Senior

  34. What would you use to enable agent-to-agent interactions?

    Asked once · last asked Oct 8 · Design · Senior

  35. Where would you store prompts and tool definitions for AI agents?

    Asked once · last asked Oct 8 · Design · Mid-level

  36. How would you trace a query through an AI system, including orchestration and routing among agents?

    Asked once · last asked Oct 9 · Design · Senior

  37. What factors would you consider when choosing AWS Bedrock over another approach for implementing an AI chatbot?

    Asked once · last asked Oct 9 · Design · Mid-level

  38. How would you design a multi-agent application, define each agent's responsibilities, and coordinate their interactions?

    Asked once · last asked Oct 9 · Design · Senior

  39. How would you design an agent-based or automated system to help dispatch meals?

    Asked once · last asked Oct 10 · Design · Senior

  40. Why might an application use both Qwen and Gemini Flash instead of a single model?

    Asked once · last asked Oct 11 · Concept · Mid-level

  41. How would you compare inference costs for locally hosted models with API-hosted models such as Qwen and Gemini Flash?

    Asked once · last asked Oct 11 · Scenario · Mid-level

  42. How would you design a secure document intelligence workflow for sensitive financial documents, including time-bounded access, data extraction, and surfacing insights to business users?

    Asked once · last asked Oct 12 · Design · Senior

  43. How do you ensure data privacy in a chatbot?

    Asked once · last asked Oct 13 · Scenario · Mid-level

  44. How would you design an overall system for point clouds so a user can change shapes through natural language?

    Asked once · last asked Oct 14 · Design · Senior

  45. If a user wants five tables generated at the same time with different lengths and you have reached the GPU limit, how would you handle that?

    Asked once · last asked Oct 14 · Scenario · Senior

  46. From an enterprise architecture view, how would you approach defining standards and guardrails for AI solutions and agents being developed across different business units?

    Asked once · last asked Oct 16 · Scenario · Senior

  47. How would you design a RAG system for an AI assistant? Explain its architecture and what you would implement in code versus delegate to the LLM.

    Asked once · last asked Oct 18 · Design · Senior

  48. How does a network-monitoring chatbot work, and what tools can be used to build one?

    Asked once · last asked Oct 20 · Design · Mid-level

  49. How would you design an event-driven pipeline using Kafka and Claude to handle growth?

    Asked once · last asked Oct 20 · Design · Senior

  50. How would you build an AI agent with React, from end to end?

    Asked once · last asked Oct 21 · Design · Senior

  51. Design a document Q&A system for an enterprise with over one million documents (RAG).

    Asked once · last asked Oct 21 · Design · Senior

  52. Design an AI-powered customer support chatbot for 10,000 concurrent users.

    Asked once · last asked Oct 21 · Design · Senior

  53. What happens internally in the system from the moment a user uploads a PDF document to receiving an answer with citations?

    Asked once · last asked Oct 22 · Design · Mid-level

  54. How do you handle the challenge of integrating an AI solution into financial systems without disrupting current workflows?

    Asked once · last asked Oct 23 · Scenario · Senior

    Other ways it was asked
    • “What technical challenges commonly arise when integrating AI solutions into financial workflows?”
    • “What steps would you take to ensure both systems align effectively when integrating an AI solution into a traditional banking system?”

  55. What are the main technical challenges in building an AI system that makes insurance calls?

    Asked once · last asked Jul 16 · Design · Senior

    Other ways it was asked
    • “What language models would you consider for an AI system that makes insurance calls?”
    • “What challenges can arise when using language models in an AI system that makes insurance calls?”
    • “What other factors should you consider when designing an AI system to make insurance calls?”

  56. How would you plan and architect an end-to-end chatbot or type-ahead search project?

    Asked once · last asked Sep 7 · Design · Senior

  57. What is scaffolding in LLM application development, and why is it used?

    Asked once · last asked Feb 5 · Concept · Mid-level

  58. How would you secure an AI system?

    Asked once · last asked May 8 · Scenario · Mid-level

  59. How would you design and build an AI-powered tool?

    Asked once · last asked Jun 12 · Design · Mid-level

  60. How would you build an LLM-powered chatbot using a Python backend?

    Asked once · last asked Jul 16 · Design · Mid-level

    Other ways it was asked
    • “How did you build an LLM-powered chatbot using a Python backend?”

  61. Is a LangChain flow guaranteed to succeed every time?

    Asked once · last asked Jul 17 · Concept · Mid-level

  62. How do you compare different AI frameworks, and what factors distinguish them?

    Asked once · last asked Jul 20 · Concept · Mid-level

  63. Where would you deploy a computer-vision inspection solution, and what deployment environment would you choose?

    Asked once · last asked Jul 21 · Design · Mid-level

  64. How long would it take to build a simple web application with an LLM layer, tools, and a database?

    Asked once · last asked Jul 23 · Scenario · Mid-level

  65. What tools and approaches do you use to build AI solutions?

    Asked once · last asked Jul 23 · Tooling · Mid-level

  66. How would you build a recommendation engine?

    Asked once · last asked Jul 25 · Design · Senior

  67. How do you approach analysis and automation when building AI-powered client tools?

    Asked once · last asked Aug 3 · Scenario · Mid-level

  68. Which components of a ticket-handling agent system would use the conventional database?

    Asked once · last asked Aug 7 · Design · Mid-level

  69. What is the difference between ChatGPT and cloud computing?

    Asked once · last asked Sep 14 · Concept · Junior

  70. How would you handle a failure scenario where the LLM API is down or timing out?

    Asked once · last asked Sep 24 · Scenario · Mid-level

  71. What are the main components of a telephone agent?

    Asked once · last asked Sep 29 · Concept · Mid-level

  72. How would you provide data to a chatbot?

    Asked once · last asked Sep 30 · Design · Mid-level

  73. What should a chatbot do after a customer submits a message?

    Asked once · last asked Sep 30 · Scenario · Mid-level

  74. How would you justify your choice of approach when designing a multi-agent AI platform?

    Asked once · last asked Oct 9 · Design · Senior

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More System Design interview questions

How this list is made

Every question here was asked by a real interviewer in a real job interview that a candidate ran MeetAssist in. After the call, the interviewer's questions are pulled from the transcript. Practice sessions, tests, exams and anything that was not a job interview are dropped.

Questions are rewritten so they make sense on their own: names of people, employers and clients are removed, and speech-to-text mistakes are fixed. Small talk, logistics and questions about one candidate's own résumé are left out. Rephrasings of the same question are merged, and the count is the number of different interviews it came up in.

The interviews come from candidates who use MeetAssist, so they lean towards software, data and AI roles: the shares describe these interviews, not every System Design interview. Answers to the most asked questions are written and checked by an editor; a "common mistake" is shown only when reviews of real answers in these interviews show it, with the count.

942 interviews, 495 candidates, Oct 2025 to Oct 2026. Updated every month with new interviews.