[mattbrewsbytes]

Here's a web app engineer perspective: delivery to the customer's laptop is likely over HTTP so the mechanism is taking customer text input, calling API's and delivering results.

In its simplest form (again from a web app engineer's viewpoint) LLMs ingest text, organize that data (a very complicated process I don't understand fully, nor need to), and provide API's to output text given some set of inputs so this resembles very closely working on Elastic or other search engine technology. A caveat is the API's being called likely maintain state in the sense of keeping track of inputs, context and outputs. I would classify someone that is working on this as more of an API/backend engineer. They need to understand the AI/LLM data model being used which is very specific and the use cases around it but they did not engineer the AI/LLM data model themselves, it was likely some other R&D engineers.

Edit to add: AI engineer to me is the R&D people I reference above - the ones building the data model that others use.