Software Development Engineer - Shopping Personalization AI, Amazon Stores

Описание

Amazon's Personalization organization builds AI systems that help hundreds of millions of customers discover and shop by extracting and reasoning over customer signals in real time, powering LLM-driven recommendation experiences, and building AI-native discovery surfaces. This role involves designing and building features that shape how customers discover products, defining how LLMs integrate into real-time personalization, and ensuring AI-powered experiences ship reliably at scale.

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, relevance explanations, and knowledge-driven features using LLMs and generative AI
• Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention
• Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply

Requirements

• 5+ years of non-internship professional software development experience
• Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Experience building complex software systems that have been successfully delivered to customers
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Nice to have

• Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration
• Experience with AI/ML integration and generative AI applications
• Experience mentoring engineers and driving engineering best practices