The Path to AI Engineer Nobody Tells You About (From LATAM)

The Path to AI Engineer Nobody Tells You About (From LATAM) I have never taken a formal AI course. My first LLM integration serves 236 users daily. This is what the path actually looks like. The Trap Nobody Warns You About You finish Andrew Ng's course. You understand transformers. You can explain attention mechanisms at a dinner party. You build a sentiment classifier on the movie review dataset. You feel like an AI engineer. Then you apply for jobs. They want "production AI experience." You look at their codebase. It's nothing like the tutorials. There are retry loops. There are rate limits. There are three different error states you never considered. There's a database call that sometimes takes 8 seconds and sometimes times out. There's a Slack alert at 3 AM because the API response format changed slightly. The gap between "make this work in Jupyter" and "make this work when real money depends on it" is not a small step. It's a chasm. Most people get stuck in it, endlessly tweaking