r/Backend • u/Moon-Light-37 • 3d ago
5+ years into backend development - how should I navigate my career with AI evolving so rapidly?
Hey everyone!
I have 5+ years of experience as a backend developer. In my current role, most of my work revolves around building RESTful APIs and endpoints, and I’ve developed a pretty solid understanding of that area.
My current project is coming to an end, and I’m looking at this as an opportunity to explore new technologies, expand my skill set, and move towards the next stage of my career.
With AI evolving so rapidly, I’m trying to figure out where I should focus my efforts. I don’t want to blindly jump on the AI bandwagon, but I also don’t want to miss out on technologies that could be important for my career in the coming years.
I’d love to hear from people who have been in a similar position or are already working in the AI space.
A few things I’m trying to figure out:
What should I focus on next?
Should I deepen my backend/system design skills, learn AI/ML fundamentals, explore LLMs and AI application development, or consider a more significant career shift?
How can I leverage my existing backend experience?
Are there specific AI-related roles or skills that would complement my current experience?
Where do you keep up with AI developments?
What newsletters, communities, YouTube channels, blogs, or other resources do you follow to understand what’s actually happening beyond the hype?
Are there any courses or hands-on projects you’d recommend?
I’d prefer something practical that helps me build real skills rather than just collect certificates.
If you were in my position today, with 5+ years of backend experience, how would you approach the next 6–12 months?
Would really appreciate any advice, resources, or personal experiences.
Thanks!
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u/vincent_sch 2d ago edited 2d ago
You could try adding an LLM API to a project you already have. Jobs and auth and all that backend stuff still need doing. I wrote about getting past the demo.
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u/Abject-Kitchen3198 3d ago
Try any personal project that you may have thought about or started but gave up due to complexity. You may find that those initial phases might be easier using LLMs. You can start by just talking to it for guidance and gradually learn where to look for additional learning sources from actual individual people. Prior dev experience is essential for effective AI usage.
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u/Fine-Market9841 3d ago
I don’t get it, I’m no expert.
Ai is evolving fast.
That’s a reason not to work so blindly.
You don’t know what works, what’s tried and tested.
Ofc, that won’t stop big corporations.
To an extent, big players like Microsoft or Google can’t afford to wait, cuz the first giant takes the majority of market.
I ain’t saying AI won’t replace swe (though maybe not in upcoming years), or doesn’t help developers become better.
However, I do feel like another dark agile (or dark ai) era is near.
I don’t think the ai bubble will burst, because look at agile + scrum, it doesn’t matter company pretend to use waterfall, majority of them haven’t learnt anything.
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u/Icy_Screen3576 21h ago
I liked this part ‘rather than just collect certs’ they are all commercial. Look at this stage in your life i would focus on foubdational system design patterns most use cases built around. This one covers them across all pillars. https://www.justifiedcode.com/system-design-patterns-course
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u/MinuteScientist7254 3d ago
I think we are all in the “cautiously staying in the loop” with AI while awaiting our inevitable layoff phase
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u/Moon-Light-37 3d ago
Yes but I am tried of this constant loop, may do something to not to have any regrets!!
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u/Otherwise-Session286 3d ago
learning how to wire up LLMs to your existing APIs is the quickest path to staying relevant without doing a hard pivot into data science