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AI Interview Questions and Answers: 466 Free Questions by Role

Free AI interview questions with model answers for freshers, experienced candidates and HR rounds, plus generative AI, RAG, data analyst and product manager roles. Pick your role and start practising.

17 free question banks

By experience level 4Generative AI and LLM roles 6Machine learning and data roles 4Product, business and QA roles 3

By experience level

Freshers, experienced candidates, HR rounds and free practice.

01AI Interview Questions and Answers for Freshers (BTech, BCA, MCA)AI interviews for freshers test fundamentals: AI vs ML vs deep learning, types of learning, overfitting, common algorithms, evaluation metrics, basic generative AI and one project you can explain.29 questions02AI and ML Interview Questions for Experienced Professionals, With AnswersAI interviews for experienced candidates test judgement more than definitions: ML and LLM system design, MLOps and LLMOps, data quality, cost and latency trade-offs, responsible AI, and how you led past projects.28 questions03Free AI Mock Interview Practice: Questions, Prompts and a 7-Day PlanYou can practise interviews with AI for free by asking a chatbot to act as your interviewer, answering out loud, and requesting a score and follow-up after each answer.26 questions04AI HR Interview Questions and AI Video Interviews: How to Answer ThemAI interview questions come in two forms: HR and behavioural questions about how you use AI at work, and interviews run by an AI interviewer.24 questions

Generative AI and LLM roles

GenAI, LLM, RAG, agentic AI, AI engineer and prompt engineer interviews.

05Generative AI Interview Questions and Answers (Freshers to Experienced)Generative AI interviews test four things: core concepts (LLMs, tokens, transformers), applied skills (prompting, RAG, embeddings), production judgement (evaluation, cost, safety) and scenario thinking.28 questions06LLM Interview Questions and Answers: Large Language Model Prep for Freshers and ExperiencedLLM interviews test how large language models work inside: transformer architecture, tokenization, training stages (pretraining, fine-tuning, RLHF), decoding, serving and evaluation.28 questions07RAG Interview Questions and Answers for Freshers and Experienced EngineersRAG interviews test whether you can build and debug a retrieval-augmented generation pipeline: chunking, embeddings, vector search, hybrid search, reranking and evaluation of retrieval and answers.28 questions08Agentic AI Interview Questions and Answers: AI Agent Prep for Freshers and ExperiencedAgentic AI interviews test whether you can build systems where an LLM plans, calls tools and acts towards a goal safely.28 questions09AI Engineer Interview Questions and Answers for FreshersAI engineer interviews for freshers test Python and API basics, core machine learning ideas, calling LLM APIs with structured outputs, simple RAG with embeddings, and shipping a small service with FastAPI, git and Docker.28 questions10Prompt Engineer Interview Questions and Answers for Freshers and ProfessionalsPrompt engineering interviews test whether you can write clear instructions for LLMs, choose the right technique (few-shot, chain-of-thought, structured output), measure prompt quality with test sets, and defend against prompt injection and hallucination.26 questions

Machine learning and data roles

ML, data science, data analyst and Python for AI interviews.

11Machine Learning Interview Questions and Answers (Freshers and Experienced)Machine learning interviews test four things: core ideas (supervised learning, overfitting, bias and variance), evaluation (cross-validation, precision, recall, ROC-AUC), algorithms (regression, trees, boosting, clustering, PCA) and judgement on messy real data.28 questions12Data Science Interview Questions and Answers for Freshers and ExperiencedData science interviews test statistics (distributions, p-values, confidence intervals), experimentation (A/B testing), data skills (SQL, Python, cleaning, EDA), modelling choices and business sense.28 questions13Data Analyst Interview Questions and Answers for Freshers and ExperiencedData analyst interviews test SQL (joins, GROUP BY, window functions), Excel (lookups, pivot tables), basic statistics, data cleaning, dashboards in Power BI or Tableau, and business sense through metric and case questions.28 questions14Python Interview Questions and Answers for AI Engineers and ML RolesPython interviews for AI roles test core language skills (data structures, generators, decorators, the GIL), data libraries (NumPy, pandas, scikit-learn), working with JSON and LLM APIs including async calls, and clean engineering habits like virtual environments and tests.28 questions

Product, business and QA roles

AI questions for product managers, business analysts and testers.

15AI Product Manager Interview Questions and Answers (GenAI, ML and Agentic AI)AI product manager interviews test product sense for AI, knowing when not to use AI, defining metrics and quality bars, handling hallucination and trust, and making build, buy or fine-tune calls on cost and latency.26 questions16Business Analyst Interview Questions and Answers for Freshers and ExperiencedBusiness analyst interviews test how you gather and document requirements, write user stories with acceptance criteria, map processes, manage stakeholders and use basic SQL and Excel.28 questions17AI Testing Interview Questions and Answers: Automation with AI and Testing LLM AppsAI testing interviews cover two skills: using AI to speed up test automation (test generation, self-healing locators, visual checks, test data) and testing AI systems themselves (non-deterministic outputs, evaluation sets, LLM-as-judge, prompt injection, bias and cost).27 questions

In the Unrot AI app

Practise these questions with instant feedback in the app.

  • Decks for 12+ roles
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AI interview prep: frequently asked questions

What AI questions are asked in interviews?

Most AI interviews test the basics (what AI, ML and LLMs are), how tools like ChatGPT work, prompting, hallucination, RAG and AI agents, plus how you have used AI in a real project. Role pages add questions specific to data, product and engineering jobs.

How do I prepare for an AI interview as a fresher?

Learn the core concepts in simple words, practise answering out loud, and prepare one small AI project you can explain end to end. Our freshers page lists the questions most often asked with model answers.

Are these AI interview questions free?

Yes. Every question bank on this page is free to read with no sign-up, on any device.

What does the Unrot AI app add to interview prep?

The app has role-specific interview decks for 12+ roles in multiple-choice, flashcard and scenario formats, with instant feedback and a readiness score, in about 5-minute sessions.

Explore more free AI guides

AI ConceptsLLMs, RAG, agents and more, explained simply19 conceptsAI GlossaryA to Z AI terms in plain words19 termsAI ProjectsProject ideas and step-by-step builds17 guidesLearning PathsFree week-by-week AI paths by role16 pathsBest ResourcesHonest lists of courses, apps and books15 lists
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