Becoming an AI engineer is a highly practical, hands-on role focused on building real-world applications using pre-trained AI models like GPT, Claude, or Llama—not training models from scratch or diving deep into theoretical research. The most common path to failure involves focusing on the wrong skills, skipping fundamentals, or never shipping real projects. Success comes from practical engineering, software
