250+ Real Gen AI Interview Questions with Answers with Ritesh Sinha

Built from 40+ GenAI interviews I attended in the last 2 months, this eBook covers what interviewers actually ask today: not definitions, but how you design, debug, scale and secure AI systems in production.

What's inside (159 pages):

📘 Part 1: 150 scenario-based production questions

Each comes with a full answer guide:

• Core answer: what the interviewer wants to hear in the first 30 seconds

• Step-by-step approach

• Trade-offs to mention

• Metrics to track

• An illustrative production example

• Answers to every follow-up question

📗 Part 2: 50 core theory questions

Transformers, attention, tokenization, prompting, hallucinations, RAG, embeddings, vector DBs, RLHF, DPO, LoRA/QLoRA and production GenAI, with concise answers and key formulas.

📙 Part 3: 100 interviewer follow-ups

The probing questions used across every topic, each with a pointer on what a strong answer covers.

18 categories covered:

RAG & retrieval • Embeddings & vector databases • Data ingestion & multimodal • AI agents • Agent safety • Multi-agent systems • Model selection & routing • Performance & scalability • Cost optimization • Reliability & incident response • LLMOps & CI/CD • Evaluation & monitoring • Security • Compliance & governance • Multi-tenant platforms • System design & technical leadership

Who it's for:

AI Engineers, GenAI Engineers, LLM Engineers, ML Engineers moving into GenAI, and AI Architects preparing for mid-level to principal roles.

Format: Digital eBook (single-user licence). Sharing or redistribution is not permitted.