LLM Engineering for Production: Safety & Scaling is the definitive, no-nonsense guide to building real-world, production-grade large language model systems.
This book goes far beyond demos and prompt tricks. It teaches you how to design, secure, operate, govern, and scale LLM systems that must survive audits, attacks, cost explosions, and real users. From secure RAG architectures and autonomous agents to LLMOps, compliance engineering, incident response, and long-term safety, this is the playbook used by teams who deploy AI where failure is not an option.
Written for engineers, architects, security leaders, and AI practitioners, this book blends systems engineering, safety-by-design, cost control, governance, and human-in-the-loop collaboration into one cohesive, production-first framework.
If you are responsible for deploying LLMs in enterprise, regulated, or mission-critical environments, this book is not optional.
It is required reading.
LLM Engineers and AI Architects
Platform, Security, and DevOps Engineers
AI Product Owners and Technical Leaders
Enterprises deploying GenAI in production
Anyone responsible for AI safety, cost, and compliance