Is it worth it to work in a SWE role thats not AI related

I am thinking about switching jobs soon, and I want to make sure that whatever experiences I get at my new company are still relevant to employers years down the line from now. My thinking is as time goes on, SWE roles/other technical roles that support the AI ecosystem (like working on optimizing LLMs, vector DBs, etc those kinds of things) are the ones that are gonna be in demand, and the companies that do that would want people with experience doing that right? I'm worried that if I take up a conventional backend SWE role at like a fintech company or goog/microsoft/whatever doing typical backend services CRUD stuff, the projects I work on won't be relevant experience to these more AI related companies. Should I ONLY consider working as a SWE for AI companies from now on? What kind of skills do LLM companies/ gen AI companies/vector DB companies/etc look for?