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Data & AI

LLM & GenAI Engineer

The definitive guide to LLM architecture, Prompt Engineering, RAG, Fine-tuning, Agents, and Production MLOps. Essential for acing GenAI roles in 2026.

280 questionsUpdated 2026-02-04BeginnerIntermediateAdvanced

What you will be asked about

LLM FundamentalsPrompt EngineeringFine-tuning & TrainingRAGLLM AgentsText Generation & SamplingProduction & DeploymentEvaluation & QualitySafety & EthicsCodingSystem DesignModel KnowledgeAdvanced TopicsReal-World ScenariosBehavioral

How to prepare

  • Go through the topic list above and mark every one you cannot explain for five minutes unprepared. Those are your gaps.
  • Pair every concept with a story from your own work — interviewers probe depth, and depth comes from having actually done it.
  • Do the DSA rounds anyway. Almost every role in this list still screens with coding.
  • Prepare two projects you can whiteboard end to end, including what you would change now.

Also do

→ 22 DSA Patterns sheet→ System design sheet→ HR & behavioural questions→ Cold email templates for referrals

LLM & GenAI Engineer interview questions280

280 of 280 questions