Title: AI Engineer Roadmap: Break Into the Field and Build a Career: Master LLM Skills, RAG Systems, and Agentic AI to Land Your First Role, Negotiate Top Salaries, and Advance to Senior Level
Publisher: Independently published
Publication Date: 2026
Language: English
ISBN 13: 9798183814743
Binding: Soft cover
Condition: New

About this title

Synopsis

Artificial intelligence is creating one of the fastest-growing career paths in technology, but breaking into AI engineering can feel confusing, overwhelming, and difficult to navigate.

AI Engineer Roadmap: Break Into the Field and Build a Career gives technically motivated readers a practical, career-focused guide to understanding what AI engineers actually do, which skills matter most, how to build a credible portfolio, how to prepare for interviews, and how to grow from entry-level candidate to senior AI professional.

This book explains the modern AI engineering career path in clear, practical terms, with a focus on real-world skills such as software engineering foundations, LLM applications, prompt engineering, retrieval-augmented generation, vector databases, agentic AI systems, evaluation, observability, data pipelines, fine-tuning, MLOps, responsible AI, security, portfolio development, interviewing, compensation, negotiation, and career progression.

Inside, readers will learn how to:

Understand what AI engineers actually build and maintain
Read AI job postings and identify real requirements
Build the engineering foundation required for AI roles
Learn LLM fundamentals and applied prompt engineering
Understand RAG architecture beyond basic tutorials
Design agentic systems that can reason, act, and use tools
Evaluate AI systems and monitor production behavior
Understand data pipelines, fine-tuning, and MLOps basics
Apply responsible AI and security principles
Build a portfolio that demonstrates engineering judgment
Prepare for AI engineering interviews
Understand compensation, offers, and negotiation strategy
Plan career growth from junior to senior and staff-level roles

Written for software engineers, data analysts, data engineers, bootcamp graduates, technical career changers, and ambitious learners, this guide avoids hype and focuses on the practical skills that hiring managers actually value.

AI engineering is not just about using models. It is about building reliable systems around them. This book shows readers how to prepare for that career with clarity, discipline, and confidence.

"About this title" may belong to another edition of this title.

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