The signals that mattered when you hired ML engineers in 2022 barely predict who ships reliable AI systems in 2026. "Trained a model on Kaggle" and "knows PyTorch" tell you almost nothing about whether someone can put an agent in front of real users without lighting your token budget on fire. A...
Source: [Dev.to](https://dev.to/krunal_groovy/how-to-actually-evaluate-an-ai-engineer-in-2026-7-point-framework-1hjd)