Post by kadence

Five years ago, many AI organizations were focused on research. Today, we're seeing growing demand for something different: Applied AI Engineers. Engineers who can take AI capabilities and turn them into real-world products, workflows, and customer outcomes. So how do you make the move? Start here: 1️⃣ Build AI into real products Don't just learn about models but learn how to deploy them. 2️⃣ Understand the business problem The strongest applied AI engineers aren't focused solely on technology. They understand why the technology matters. 3️⃣ Develop product thinking Can you identify the customer problem before writing the solution? That's becoming increasingly valuable. 4️⃣ Learn how AI works in production Reliability. Evaluation. Infrastructure. Integration. This is where many engineers separate themselves. According to S&P Global research, organizations continue investing in AI primarily to improve productivity and operational efficiency not simply to experiment with technology. We're seeing this shift play out across the hiring market every day. The engineers who thrive over the next few years understand how to apply AI to solve meaningful problems. Source: S&P Global, The AI and Labor Landscape 2026