SoftwareDevelopmentEngineer-ShoppingPersonalizationAI

Amazon's Personalization organization builds the AI systems behind how hundreds of millions of customers discover and shop. We extract and reason over customer signals in real time, power LLM-driven recommendation experiences, and build AI-native discovery surfaces that combine products, content, and contextual recommendations. Our work sits at the intersection of generative AI, large-scale distributed systems, and customer-facing products, delivered through high-performance web and mobile experiences at Amazon scale. In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build. We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint. Key job responsibilities - Design, build, test, and operate production AI features used by multiple teams and operating at Amazon scale - Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability - Collaborate with Product and Science to define experiences, run experiments, and iterate based on data - Build AI-powered experiences including personalized recommendations, relev