Need help in AI domain
Hi everyone, I’m a bit confused about all the trends happening in AI right now.
Everywhere I look, people are talking about LLMs, LangChain, NLP, GenAI, Agentic AI, n8n, and a lot of companies seem to be hiring for these skills. I genuinely find all of this interesting and exciting to work on.
But it makes me wonder: What should someone actually focus on to grow their career?
Should I strengthen my fundamentals — algorithms, statistics, core ML concepts? Or should I prioritise what’s in demand right now — GenAI, LLM apps, LangChain, Agentic AI systems, automation workflows? Or either simpler Fast API
These skills are definitely trending, and clearly useful, but will they actually help in getting the next job, or will fundamentals matter more in the long run?
If you’re working in the AI space or hiring for these roles, I’d love to hear your perspective.
What should we focus on first, considering what’s actually in demand?
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Learn both - strong ML fundamentals are evergreen and will also make you a better AI engineer, but learning the latest AI Engineering tools & frameworks will help you find jobs in the current job market.
It’s analogous to the same dynamics in software engineering, i.e. strong CS fundamentals are evergreen and will also make you a better software engineer, but learning the latest software engineering tools and frameworks will help you find jobs in the current job market.
Hope that helps in clearing some of your confusion 😊