LLM & RAG interview questions for AI backend roles.
AI backend roles want engineers who can ship LLM features reliably, not just call an API. Interviews probe retrieval quality, structured output, evaluation and how you handle slow, non-deterministic responses.
Built with Nagendra Kumar, IIT Delhi graduate
· interviewed 300+ engineers
Readiness assessment
Know exactly where you stand in AI / LLM Engineering.
- Overall readiness score out of 100
- Skill-wise breakdown across 7 areas
- Your gaps, ranked by priority
- An action plan and simple explanations for every miss
₹49
28 questions · 30 min · instant report
What interviewers check
Four things decide this round.
Embeddings and retrieval
How vector search works and why chunking matters.
Structured output
Getting reliable JSON and validating it.
Evaluation
Measuring whether a prompt or retrieval change actually helped.
Production
Streaming, timeouts, cost and background jobs for slow calls.
Try before you pay
One question.
See how you think.
This is the style of every question in the assessment: real situations, not trivia, with an explanation for each answer. The full test covers 28 questions across 7 skills.
Your RAG chatbot answers confidently but cites the wrong policy document. What should you check first?
If the wrong context is retrieved, no model or prompt can fix the answer. Inspect the retrieved chunks, chunk size and embeddings before touching generation.
· FreeMistakes that cost offers
- Tuning prompts when retrieval is the real problem.
- Trusting LLM JSON without validation.
- Judging quality from a handful of manual tries.
How to practise
Build production LLM features: embeddings, RAG, chunking, structured outputs, streaming and evaluation.
- Build a RAG API over your own documents with a vector store.
- Return validated JSON (Pydantic) from an LLM and handle failures.
- Create a 20-question eval set and measure a prompt change against it.
Stop guessing what to study
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30-min test
Job Readiness Assessment
Free₹99one-time
One-time payment · Python / AI Backend Engineer
What you get
- Role-specific readiness assessment (28 questions, 30 min)
- Overall readiness score and skill-wise breakdown
- Strengths and skill gaps across 7 core areas
- Personalised assessment report with answer explanations
How it works
- 1 Unlock it at checkout
- 2 Take the 28-question test (30 min)
- 3 Get your report instantly
Best for: Candidates who want to know exactly where they stand.
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Assessment + Personal Guidance
₹500₹599one-time
₹99 assessment + ₹500 for a 30-minute one-to-one session
What you get
- Everything in the ₹99 assessment
- One-to-one review of your assessment results
- Identify your highest-priority skill gaps
- Guidance on what to learn and practise next
- Personalised next-step action plan
How it works
- 1 Pay ₹599 securely
- 2 Take the test and get your report
- 3 Review it one-to-one on Google Meet
Best for: Candidates who want a clear improvement roadmap.
Mentoring is guidance to help you improve, not a job guarantee.
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60-min session
Personal Mentoring
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60-minute one-to-one session · No assessment required
What you get
- Deep-dive on your career and technical challenges
- Detailed review of your Python / backend skills and projects
- Interview preparation priorities and mock questions
- Written, personalised action plan after the session
How it works
- 1 Pay ₹999 securely
- 2 Pick a 60-minute slot
- 3 Meet on Google Meet, get a written plan
Best for: Candidates who already know what they need help with.
Mentoring is guidance to help you improve, not a job guarantee.
Secure checkout · Full refund if not started
Your mentor
Nagendra Kumar
IIT Delhi graduate · 10+ years
300+
engineers interviewed
50+
engineers hired
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Delhivery
FAQ
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