28, 3-year career gap, trying to transition into AI Engineering — do I still have a chance?
28 with a 3-year career gap — trying to transition into AI Engineering. Need honest advice
I’m 28 with a 3-year career gap. I previously worked for 2 years at Bank of America in automation testing, and before that as a mechanical engineer.there were several personal problems broke me apart and so the gaps had to happened I’m not saying this as an excuse. I take responsibility for losing consistency and letting the gap grow.
I’ve decided to transition into AI/GenAI engineering and have been learning for around a year.
I’ve built projects around RAG and Agentic AI, and RAG is currently my strongest area. I’ve worked with:
RAG, chunking, embeddings, FAISS, Chroma, Qdrant, PGVector, BM25, hybrid search, MMR, reranking, query transformation, HyDE, LangChain, LangGraph, Agentic RAG, LangSmith, RAGAS, FastAPI, Docker.
My biggest weakness is coding. I know Python but I’m not yet at the level where I can confidently build systems from scratch without relying heavily on documentation/AI.
I’m trying to avoid endlessly jumping between frameworks and actually become employable.
For people currently working in AI/ML/GenAI:
How would you approach Python/coding proficiency?
LeetCode/DSA vs projects vs backend development?
What skills are actually essential for an AI Engineer?
What would you stop learning?
How would you structure the next 6–12 months?
And realistically, is a 28-year-old with a 3-year gap and previous automation experience still capable of breaking into this field?
I’m not looking for motivation or sympathy. I want honest criticism and a practical roadmap.