About AI Engineer HQ

We're on a mission to demystify AI engineering and help developers build real, production-ready AI systems.

Our Vision

The AI landscape is evolving rapidly, but quality educational content often lags behind. We bridge that gap by providing deep, technical content that goes beyond surface-level tutorials.

At AI Engineer HQ, we focus on the full AI engineering stack — from understanding how LLMs work to building production RAG systems, autonomous agents, and fine-tuned models.

What We Cover

• RAG Systems: Learn how to build retrieval-augmented generation systems that ground LLM responses in your data.
• AI Agents: Understand how to create autonomous agents that can plan, use tools, and accomplish complex tasks.
• Fine-Tuning: Master the art of adapting pre-trained models to your specific domain and use case.
• LLM Fundamentals: Deep dive into how large language models actually work under the hood.
• Production Best Practices: Learn how to deploy, monitor, and scale AI systems in production.

Our Approach

Every tutorial and guide we publish is:

• Practical: Real code examples you can use in production
• In-depth: We don't just show you what to do, but explain why
• Current: Updated regularly to reflect the latest best practices
• Honest: We discuss trade-offs, limitations, and real-world challenges

Join Our Community

Whether you're just starting with AI engineering or you're a seasoned practitioner, there's something here for you. Subscribe to our newsletter to get the latest tutorials delivered to your inbox.