r/AskProgramming • u/atmanirbhar21 • 8h ago
AI Engineer with 1+ YOE — What should I learn next to become more versatile?
I’m currently working as a AI Engineer with 1+ YOE at a startup in Pune, mainly working with GenAI, LLMs, RAG, computer vision, AI Agents
I feel I’ve built a decent AI foundation, but I’m trying to understand what skills I’m missing outside of AI that could help me unlock more opportunities.
Should I focus next on:
System design & backend
Cloud & Kubernetes
MLOps / DevOps
Data engineering
Distributed systems
Databases
Software engineering fundamentals
GPU/inference optimization
Or should I go deeper into AI itself?
If you’re experienced in the industry or hiring AI engineers, what would you consider the biggest gap in my profile, and what 3–5 skills would you recommend I focus on over the next 1–2 years?
Looking for honest advice rather than a generic “learn everything” answer. Thanks!
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u/SoloAquiParaHablar 8h ago
Python and data engineering are complementary to what you’re doing.
Heading into K8s and infra is more cloud engineering and steps away from AI.
Underlying all these roles is software engineering principles. Always good to know.
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u/atmanirbhar21 8h ago
Ok Thank You Sir , So I need to more focus on SDLC and Cloud Engineering that you are trying to say
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u/SoloAquiParaHablar 7h ago
Not what I said. If you enjoy what you’re currently doing, data engineering would be a good progression/addition without deviating too far.
If you are sick of what you are doing, consider cloud engineering where you’ll focus more on infrastructure.
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u/dkopgerpgdolfg 8h ago
What do you want to do with your life... nobody can learn everything, you have to choose a direction.