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Sprint 2: Why I became an AI Infrastructure Engineer

2026-07-29#career#infrastructure#agents

Cartoon: a giant spiraling hurricane of wind rises from a green base field, created by one small engineer running at incredible speed around a circular base path while laptops and papers swirl in the wind
The hurricane, revealed: one person running incredibly fast around one circle.

The hurricane

This post relates on how I see software being developed. I feel like part of a hurricane, where there is one person running incredibly fast around one circle over a base field, and the airflow that is pushing the hurricane even faster and further.

When I worked as a leader, I was the one running the base of the hurricane. All the people assigned to work together with me, following me, were part of the wind that I created. And riding that wind, each of them could carry an entire air flow alone.

When I worked as part of the team, I was one of the responsibles for keeping the entire air flow going — and sometimes for providing vision, making sure the hurricane didn’t fall into some hole it couldn’t see by itself.

The base

And then there is the base. That is the infrastructure behind every team and team mates, making ground for us to run, this base is something I understand very well, because I built it so many times — each time solving a different problem, shaped by the client’s infrastructure environment and the technology available at the time.

Flat cartoon: a software engineer with short dark hair and a black beard stands on a green base field holding a rolled blueprint, transforming a plain dirt path into a futuristic airport-style moving walkway travelator with white arrows and speed lines; three small figures stride fast on the travelator while one walks slowly on the dirt beside it
From dirt path to moving walkway — the base field getting faster with every sprint.

My own field

Now I have my own company. I need a base, and I understand the necessities that AI has and how to effectively use my hardware in a way I can afford — and, at the same time, one base built to prevent the chaos I faced for twenty years across many companies in the IT market.

What enables me to use all the power I gathered over those years is not only LLMs and Claude. It’s my expertise in creating easy working grounds.

Now, with AI, I built my own infrastructure. And yes — today it is full of agents, specialized VMs, and different operating systems, so all the lessons that I learned while I built software in the industry can happen here at once, at the same time.

That’s why I became an AI Infrastructure Engineer. Because to enable everything, and the best for myself, I’m the one who has to set up and maintain the base ground. The same base ground that could also support more people.

Right now, I don’t have the option. I am by myself, and since it is an AI infrastructure, I made it be myself + 80% of the efficiency in all the areas that would normally be covered by a teammate’s air flow. And every time I step back and watch it all spinning together, exactly the way it should, I know I built the right base. The hurricane is running again — this time over my own field.