Are teams still using Pytorch/Tensorflow, or is most ML work just calling LLM endpoints and prompt engineering now?

I've been looking for a new job lately (brutal market, btw), and a lot of the ML/AI engineering work now seems pretty LLM-dominated.

I still see a few jobs that seem to be doing more "classical", pre-ChatGPT era type of work with Pytorth or Tensorflow, but it seems that a lot of the work now is working with LLMs, doing RAG, prompt engineering, etc. with Langchain or what have you, and calling Anthropic or OpenAI model endpoints.

Is this an accurate take on the market? And if so, what happened to all the Pytorch/Tensorflow work? Why did it shift so heavily towards just using LLM providers in some package/endpoint?