My holiday gift to you is my Nebula.io co-founder Ed Donner, one of the most brilliant, articulate people I know. In today's episode, Ed introduces the exciting, in-demand "A.I. Engineer" career — what's involved and how to become one.

After working daily alongside this world-class mind and exceptional communicator for nearly a decade, it is at long last my great pleasure to have the extraordinary Ed as my podcast guest. Ed:

• Is co-founder and CTO of Nebula, a platform that leverages generative and encoding A.I. models to source, understand, engage and manage talent.

• Previously, was co-founder and CEO of an A.I. startup called untapt that was acquired in 2020.

• Prior to becoming a tech entrepreneur, Ed had a 15-year stint leading technology teams on Wall Street, at the end of which he was a Managing Director at JPMorganChase, leading a team of 300 software engineers.

• He holds a Master’s in Physics from the University of Oxford.

Today’s episode will appeal most to hands-on practitioners, particularly those interested in becoming an A.I. Engineer or leveling up their command of A.I. Engineering skills.

In today’s episode, Ed details:

• What an A.I. Engineer (also known as an LLM Engineer) is.

• How the data indicate A.I. Engineers are in as much demand today as Data Scientists.

• What an A.I. Engineer actually does, day to day.

• How A.I. Engineers decide which LLMs to work with for a given task, including considerations like open- vs closed-source, what model size to select and what leaderboards to follow.

• Tools for efficiently training and deploying LLMs.

• LLM-related techniques including RAG and Agentic A.I.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.