I track AI/DS job listings in India weekly (11,557 this week — one of the world’s biggest AI labor markets). The gap between Twitter discourse and what employers actually post is stark: What JDs actually require (top 10): Python (~2,250) Machine Learning (~2,070) “Artificial Intelligence” (~1,640) SQL (~1,260) · Data Analysis (~1,190) NLP (~810) Java (~700) 8. Azure (~630) Generative AI (~590) LLM (~520) Java outranks LLMs. Azure outranks GenAI. The stack that gets you hired in 2026 looks a lot like the stack from 2021, with GenAI as a bonus layer on top. My read: enterprises (Accenture, TCS, EY dominate the hiring volume) are integrating AI into existing Java/Azure systems, not rebuilding around LLMs. The “GenAI engineer” as a mainstream job title is still 1-2 hiring cycles away — the keywords are climbing (~1,110 combined GenAI+LLM mentions) but haven’t cracked the top 5. Is this an India-specific lag, or are US/EU job posts showing the same fundamentals-heavy pattern? Curious what people hiring in other markets see. submitted by /u/NeitherMembership679
Originally posted by u/NeitherMembership679 on r/ArtificialInteligence