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Software Engineer to AI Engineer Roadmap
A realistic three-month plan to transition into AI.
If you’re a software engineer trying to move into AI as fast as possible, this is the three-month plan I’d follow. I’ve worked with over 400 people on moving into AI and ML roles, and I can tell you that the standard roadmap doesn’t work for people coming from software engineering.
The plan is simple: month one, build and deploy one small AI feature. Month two, learn evals and turn it into a real agent. Month three, get that proof in front of the right people. Along the way you close the four gaps I see most often in software engineers: model behavior, context engineering, agentic systems, and evals.
I’ve also turned this whole plan into a free week-by-week checklist so you can track where you are.
Why the standard AI roadmap doesn’t work for software engineers
Most roadmaps assume you’re starting from zero. If you’ve already spent years building software, following one from the beginning can mean wasting 6 to 12 months on linear algebra and PyTorch you won’t even use. Meanwhile, tech companies are actively hiring engineers to build production AI systems today.
