LLM Engineer: Build, Fine-Tune, and Deploy Production-Grade AI Applications with Python and Modern LLMs

By RICHARD BOOZMAN

Design, scale, and ship real world AI systems powered by large language models

Large language models are redefining how software is built.

From intelligent assistants to automated workflows and AI driven products, LLMs are becoming a core part of modern applications. But building reliable, scalable systems with them requires more than simple API calls.

"LLM Engineer" is a practical, end to end guide to designing, building, fine tuning, and deploying production grade AI applications using Python and modern large language models.

This book focuses on real engineering practices that turn prototypes into scalable AI systems.

Why LLM engineering is a new discipline

Working with LLMs introduces new challenges:

non deterministic outputsprompt sensitivity and variabilitylatency and cost constraintsdata management and retrievalevaluation and quality controldeployment and monitoring

This book teaches you how to handle these challenges with proven approaches.

What you will learnfundamentals of large language modelsprompt design and optimization strategiesbuilding applications powered by LLMsretrieval augmented generation systemsfine tuning and model customizationevaluation and benchmarking techniqueshandling hallucinations and errorsscaling applications for real userscost and latency optimizationdeployment and monitoring in production
From prototype to production AI

Throughout the book, you will learn how to:

design robust AI application architecturesintegrate LLMs into real software systemsbuild pipelines for data and inferenceimprove output reliability and consistencydeploy scalable AI servicesmonitor performance and iterate continuously

Each chapter focuses on practical engineering decisions.

Practical applicationsAI powered SaaS productsintelligent chatbots and assistantsdocument analysis systemsautomated content generationbusiness process automationknowledge retrieval systems

These examples reflect real use cases in modern software.

Who this book is forsoftware engineersAI engineersdata scientistsbackend developersprofessionals building AI powered products

If you want to move beyond experimentation and build production ready AI applications, this book provides the roadmap.

Design intelligently.
Build reliably.
Deploy AI at scale.

• Format: Paperback
• Language: English
• ISBN: B0GY8Y2PYX
• ISBN13: 9798257898617
• Release Date: April 2026
• Publisher: Independently Published
• Length: 260 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"