“AI Engineering” is a term that I didn’t hear about two years ago, but today, AI engineers are in high demand. Companies like Meta, Google, and Amazon, offer higher base salaries for these roles than “regular” software engineers get, while AI startups and scaleups are scrambling to hire them.

However, closer inspection reveals AI engineers are often regular software engineers who have mastered the basics of large language models (LLM), such as working with them and integrating them.

So far, the best book I’ve found on this hot topic is AI Engineering by Chip Huyen, published in January by O’Reilly. Chip has worked as a researcher at Netflix, was a core developer at NVIDIA (building NeMo, NVIDIA’s GenAI framework), and cofounded Claypot AI. She has also taught machine learning (ML) at Stanford University. — Read More