Software Development Engineer, Catalog Diagnostics (Agentic) & Analytics

About the role

Amazon Selection and Catalog Systems (ASCS) is dedicated to powering the online buying experience for customers worldwide. We innovate to ensure uniqueness and consistency of product identity and infer relationships between products in Amazon's catalog to drive the selection gateway for the search and browse experiences on the website. We address a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Our mission involves using Generative AI, Visual Language Models (VLMs), and multimodal reasoning to determine what makes each product unique and how products relate to one another across Amazon's catalog.

Responsibilities

• Formulate novel ways to solve foundational challenges in making an Agentic solution to attain production-grade accuracy, resilience, and closed-loop problems at the intersection of GenAI, transactional systems operating at 100K TPS, and large-scale information retrieval.
• Design and implement leading Agentic frameworks and architectures to solve product identity, relationship inference, and catalog understanding at a billion-product scale.
• Pioneer explainable AI methodologies that balance agent performance with scalability requirements for production systems impacting millions of daily customer decisions.
• Own end-to-end data pipelines from ideation to production deployment—processing petabytes of multimodal data with rigorous evaluation frameworks.
• Define product roadmaps aligned with business priorities, balancing foundational research with incremental product improvements.
• Represent the team in the broader Analytics and Diagnostics community—fostering tech roadmaps for Big Data Technologies, influencing peer teams, delivering tech talks, and staying at the forefront of GenAI, Analytics, and agentic system research.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Qualifications

• Basic Qualifications:
• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language
• Preferred Qualifications:
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience with generative AI technologies and AI-native development practices, including prompt engineering, LLM integration, agentic architectures, and retrieval-augmented generation
• Comfortable evaluating and applying AI tools to accelerate development workflows and deliver intelligent, scalable solutions

Skills

• Strong technical foundations
• Passion for solving complex problems at scale
• Collaborative environment where you can experiment with massive data from the world's largest product catalog
• Experience with distributed cloud-scale systems
• Tackle big data challenges across web-scale data integration, entity and product matching, data quality improvement, natural language processing, and knowledge inferencing

Benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers. Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. For more information, visit https://amazon.jobs/en/benefits.