AI engineering, despite being a new discipline, fundamentally adheres to traditional engineering principles such as simplifying solutions, focusing on essential functions, and avoiding unnecessary complexity. The text critiques the current trend in AI engineering where companies are misled by marketing into building overly complex multi-agent systems, often unnecessary for their actual problems. A case is provided where a company planned a five-agent system for document processing, which was effectively replaced by a simpler solution: a text box and a button. The key principles highlighted include starting with the simplest possible solution, treating AI systems as black box functions, and maintaining engineering best practices like version control, testing, and observability. The text argues that AI engineering should not be viewed as fundamentally different from traditional engineering, stressing the importance of iterative development and adapting established practices to new tools, rather than succumbing to hype and complexity.