AI Engineer

AI engineers take models — whether trained in-house or accessed through an API — and turn them into features that actually work in production: reliable, fast, and safe enough to put in front of real users. That means wiring up retrieval systems, fine-tuning models for specific tasks, and building the guardrails that keep an AI feature from confidently saying something wrong.

It's one of the fastest-moving corners of software engineering, with new techniques and tools appearing monthly, so a comfort with rapid change is almost a job requirement. The role sits at the intersection of traditional software engineering and applied machine learning, and increasingly the two skill sets are merging into one.

Given how central generative AI has become to product strategy across nearly every industry, this is one of the fastest-growing and highest-paid corners of tech, and that trajectory shows little sign of slowing as companies race to embed AI into their products.