In a recent episode of the High Agency Podcast, host Raza Habib conversed with Shawn Wang, also known as Swyx, discussing the emerging role of AI Engineers, a distinct position that bridges traditional machine learning (ML) engineering and product-focused development. Swyx, a prominent figure in AI engineering, emphasized that while AI Engineers might face skepticism, their focus on integrating AI capabilities into products is crucial in today's landscape. Unlike ML Engineers who focus on model development, AI Engineers work with pre-trained models and APIs to solve specific product challenges, often requiring rapid prototyping and iteration. Swyx suggested a team composition of four AI Engineers to one ML Engineer to balance model depth with product application. He highlighted several industry trends, such as the commodification of AI capabilities, improvements in inference speeds, expanded context windows, and the significance of multimodal AI. Additionally, Swyx introduced "temperature 2" use cases where AI's creative outputs are leveraged as features, encouraging innovation in AI applications. The conversation also covered the importance of moving quickly to deploy AI products, the evolving composition of AI product teams, and the potential impact of vertical AI startups compared to horizontal ones. The discussion culminated in anticipation of the upcoming AI Engineer World Fair Summit, which aims to explore these topics further and foster community engagement within the AI engineering field.