"When it comes to AI engineering, you have to apply LLMs for whatever outcomes you want. Everything I'm learning about LLMs right now is on the job. It's like the Wild West. Everybody is doing whatever, and the barriers to entry are as low as they're going to be."
"I started my career as a structural engineer. I went from traditional engineering, to software engineering, to AI engineering, which I'm doing now at HubSpot. While I was a structural engineer, there was a lot of new technology coming out with machine learning. There seemed to be a lot of opportunities to integrate it in the field."
"I've always enjoyed using software and automation to make users' lives better, so the job really resonated with me. In my current job, I help marketers scale with AI. It's cool because I get to work with people and see their faces when things go well and not so well."
Georgian Tutuianu progressed through three engineering disciplines, starting as a structural engineer before pursuing a Master's in computer science at Northeastern University to integrate machine learning opportunities. He began software engineering in 2021 at a startup, then joined HubSpot where he helps marketers scale with AI. Tutuianu emphasizes that AI engineering currently operates like the Wild West with minimal entry barriers, requiring hands-on learning of large language models on the job. He dedicated a resume section to side projects to showcase practical AI experience, recognizing the importance of building independent projects to demonstrate competency in this rapidly evolving field.
Read at Business Insider
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