Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
| Date | Stars |
|---|---|
| 2026-07-24 | 2255 |
| 2026-07-25 | 2258 |
| 2026-07-28 | 2258 |
| 2026-07-30 | 2258 |
| 2026-08-06 | 2258 |
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<img alt="AI Engineering Interview Questions and Answers" src="https://github.com/amitshekhariitbhu/ai-engineering-interview-questions/blob/main/assets/banner.png">
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# AI Engineering Interview Questions and Answers
> AI Engineering Interview Questions and Answers - Your Cheat Sheet For AI Engineering Interviews
>
> These interview questions and answers are helpful for roles such as:
>
> - AI Engineer
> - Gen AI Engineer
> - LLM Engineer
> - Agentic AI Engineer
> - AI Agent Engineer
> - Forward Deployed Engineer
> - AI Solutions Architect
> - AI Platform Engineer
> - Applied AI Engineer
> - MLOps Engineer
> - LLMOps Engineer
## Table of Contents
- [Must Know](#must-know)
- [LLM Fundamentals](#llm-fundamentals)
- [Prompt Engineering](#prompt-engineering)
- [Retrieval-Augmented Generation (RAG)](#retrieval-augmented-generation-rag)
- [AI Agents and Agentic Systems](#ai-agents-and-agentic-systems)
- [Fine-Tuning and Model Adaptation](#fine-tuning-and-model-adaptation)
- [Vector Databases and Embeddings](#vector-databases-and-embeddings)
- [AI System Design](#ai-system-design)
- [LLMOps and Production AI](#llmops-and-production-ai)
- [Evaluation and Testing](#evaluation-and-testing)
- [AI Safety, Ethics, and Responsible AI](#ai-safety-ethics-and-responsible-ai)
- [Multimodal AI](#multimodal-ai)
- [AI Infrastructure and Scalability](#ai-infrastructure-and-scalability)
- [Coding and Practical Implementation](#coding-and-practical-implementation)
- [Behavioral and Scenario-Based Questions](#behavioral-and-scenario-based-questions)
### Prepared and maintained by the **Founder** of [Outcome School](https://outcomeschool.com): Amit Shekhar
### Follow Amit Shekhar
- [X/Twitter](https://twitter.com/amitiitbhu)
- [LinkedIn](https://www.linkedin.com/in/amit-shekhar-iitbhu)
- [GitHub](https://github.com/amitshekhariitbhu)
### Follow Outcome School
- [YouTube](https://youtube.com/@OutcomeSchool)
- [X/Twitter](https://x.com/outcome_school)
- [LinkedIn](https://www.linkedin.com/company/outcomeschool)
- [GitHub](http://github.com/OutcomeSchool)
## I teach at Outcome School
- [AI and Machine Learning](https://outcomeschool.com/program/ai-and-machine-learning)
---
> **Note: We will keep updating this with new questions and answers.**
---
### Must Know
- LLM
- RAG
- MCP
- Agent
- Fine-tuning
- Quantization
Learn about the LLM, RAG, MCP, Agent, Fine-tuning & Quantization: [AI Engineering Explained: LLM, RAG, MCP, Agent, Fine-Tuning, Quantization](https://www.youtube.com/watch?v=lnfWvX66FUk)
### LLM Fundamentals
- What are foundation models, and how have they changed AI engineering?
- Answer: Explained in this video: [AI Engineering Explained: LLM, RAG, MCP, Agent, Fine-Tuning, Quantization](https://www.youtube.com/watch?v=lnfWvX66FUk)
- What is a Large Language Model (LLM), and how does it work?
- Answer: Explained in this video: [AI Engineering Explained: LLM, RAG, MCP, Agent, Fine-Tuning, Quantization](https://www.youtube.com/watch?v=lnfWvX66FUk)
- Inside ChatGPT: What Happens After You Hit Enter?
- Answer: [Inside ChatGPT: What Happens After You Hit Enter](https://outcomeschool.substack.com/p/inside-chatgpt-what-happens-after)
- What is the Transformer architecture and how does it work?
- Answer: [Decoding Transformer Architecture](https://outcomeschool.com/blog/decoding-transformer-architecture)
- What are the key components of the Transformer architecture?
- Answer: [Decoding Transformer Architecture](https://outcomeschool.com/blog/decoding-transformer-architecture)
- What is tokenization in LLMs?
- Answer: [Tokenization in Large Language Models (LLMs)](https://www.youtube.com/watch?v=sK2s9I84EVI)
- Explain BPE (Byte Pair Encoding).
- Answer: [Byte Pair Encoding](https://outcomeschool.com/blog/bpe-in-llms)
- Explain WordPiece and SentencePiece.
- What is positional encoding, and why is it needed in Transformers?
- Answer: [Positional Embeddings in LLMs](https://outcomeschool.substack.Excerpt of 55,181 characters
Read on GitHub
AMIT SHEKHAR · @OutcomeSchool · India
128
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:73d317ead8c83907, topic:ai-agents, topic:agents, readme:ai agent
matched fp:73d317ead8c83907, topic:fine-tuning, readme:fine-tuning, readme:fine tuning
matched fp:73d317ead8c83907, topic:rag, readme:retrieval-augmented generation, readme:retrieval augmented
matched fp:73d317ead8c83907, topic:interview-questions, name:interview questions, readme:interview questions