Is this for ML Engineers or AI Engineers?
AI Engineers specifically — the role focused on building applications with LLMs and foundation models, not training them. If you're building RAG, agents, or LLM-powered products, this is for you.
0→1 Interview Playbook · Valenx Press
AI Engineer
Frameworks for LLM Systems, ML Infrastructure, and GenAI Interviews
10 chapters · 240 pages · tech
The definitive AI Engineer interview preparation guide covering RAG systems, agent architectures, fine-tuning decisions, evaluation frameworks, LLM system design, and prompt engineering at scale. Built for the 2025-2026 AI Engineer interview loop.
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Who Is This For
- Software engineers transitioning to AI Engineering roles
- ML engineers who want to cover the applied AI dimension
- Developers building LLM applications who need interview preparation
- Career changers from data science or traditional ML into GenAI
What You Will Learn
- 1. RAG system design: retrieval, chunking, hybrid search, and evaluation
- 2. Agent architectures: tool use, memory, planning, and failure recovery
- 3. Fine-tuning vs RAG decision frameworks
- 4. Evaluation metrics for LLM applications (MRR@10, NDCG, human eval)
- 5. LLM system design interview walkthroughs
- 6. Portfolio strategy for AI Engineer candidates
Sample Topics Covered
Design an enterprise knowledge assistant using RAG
When is fine-tuning worth it vs prompt engineering?
How to evaluate retrieval quality beyond accuracy
Agent failure recovery interview walkthrough
Frequently Asked Questions
How current is the content?
Updated for 2026. Covers the latest patterns: multi-modal RAG, agentic workflows, evaluation-driven development, and production LLM deployment patterns seen in real interviews.
Does this cover coding questions?
It focuses on system design and applied AI judgment. For coding-specific preparation, pair this with the SWE Interview Playbook.
Is this available on Kindle Unlimited?
Yes. This playbook is enrolled in Kindle Unlimited, so KU members can read it at no extra cost. It is also available for individual purchase on Amazon.
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