ABOUT THE PAGE

The complete preparation resource for GenAI Engineer, Applied AI Engineer, LLM Engineer, and AI Agent Engineer interviews.


What's Inside

6 guides covering everything you need to go from preparation to offer.

File 1 — GenAI Engineer Roadmap: 12-week week-by-week study plan built around what companies are actually hiring for in 2026. Covers LLM APIs, RAG, agents, LLMOps, fine-tuning, and deployment with free verified resources and mini projects for every module.

File 2 — Core Concepts Guide: Every concept explained at interview depth. LLMs, transformers, attention, RAG architecture, agents, LoRA, QLoRA, RAGAS evaluation, and OWASP LLM security — with strong and weak answer examples throughout.

File 3 — System Design Guide: The round most candidates fail. Full architecture diagrams for RAG systems, multi-agent pipelines, LLM routing, evaluation pipelines, and production deployment. Includes three fully worked design examples and pre-interview checklists.

File 4 — Interview Q&A Bank: 80+ questions across beginner, intermediate, advanced, scenario, coding, and behavioral categories — all with production-grade answers. Covers RAG, LangGraph, MCP, RAGAS, LoRA, vLLM, guardrails, cost optimization, and more.

File 5 — Portfolio Project Guides: 5 production projects with complete working starter code. RAG system, multi-agent research pipeline, custom MCP server, evaluation framework, and QLoRA fine-tuning. Each project includes architecture explanation, verified code, run instructions, common errors with fixes, and resume bullet points.

File 6 — Job Search and Resume Playbook: Resume template with ATS optimization, bullet formula with examples, LinkedIn optimization, where to find remote GenAI roles, recruiter outreach templates, 2026 salary benchmarks for India and global roles, and negotiation scripts.


Who This Is For

Software engineers and developers who want to transition into AI engineering roles. You need intermediate Python knowledge. No prior AI experience required.


Salary Context

AI engineering roles in India currently range from 8 LPA at entry level to 90 LPA at senior level at AI-first companies. Remote global roles for India-based engineers range from $70K to $160K USD. AI skills carry a 56% salary premium over equivalent non-AI roles.


Format

6 PDF files zipped. Delivered instantly after purchase. 


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datascienceenthusiast000@gmail.com
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