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AI Interview Prep: 300 Q&A on LLMs, RAG, and MCP for Senior Engineers

By PulseAugur Editorial · [1 sources] ·

This guide offers 300 interview questions and answers for senior AI/ML engineers, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP). It covers foundational concepts like Transformer architecture, self-attention mechanisms, and KV caching, as well as advanced topics such as Mixture of Experts (MoE) and positional encodings. The material is designed to prepare candidates for roles requiring 5-15 years of experience in applied AI engineering. AI

IMPACT Provides a structured resource for AI engineers to prepare for interviews, covering core LLM and RAG concepts.

RANK_REASON The item is a technical guide/resource for interview preparation, not a new release or significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Interview Prep: 300 Q&A on LLMs, RAG, and MCP for Senior Engineers

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The item is a technical guide/resource for interview preparation, not a new release or significant industry event.
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Himanshu Agarwal ·

    MCP, RAG & LLM Mastery — 300 Interview Questions & Answers

    <h3> The Complete Guide for Senior Engineers (5–15 Years Experience) </h3> <p><strong>Written by Himanshu Agarwal</strong></p> <blockquote> <p>This guide contains <strong>300 in-depth interview questions and answers</strong> — 100 each on <strong>LLMs</strong>, <strong>RAG (Retri…

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