About the job
We're enhancing the shopping experience on Amazon through the conversational capabilities of large language models, and we're looking for innovative professionals who are passionate about technology and customer experience. You'll have the opportunity to contribute meaningfully to the industry while working alongside talented scientists, engineers, and technical program managers (TPMs) to create solutions that serve our customers. If you're excited about collaborating with a dynamic team and contributing to this evolving field, we'd love to have you join us on this journey!
Responsibilities
Architect, design, and develop agentic services and applications powered by large language model; Develop service orchestration patterns, efficient agent frameworks, and real-time processing systems; Contribute to our technical roadmap, service reliability metrics, and optimizations focused on building intelligent agents; Establish best practices that improve LLM application efficiency; Enable new agentic AI features for Stores customers with LLM capabilities; Design, implement large scale distributed agentic AI applications at scale; Contribute to prioritization, estimation, and sprint planning activities.
Qualifications
Minimum
3+ years of non-internship professional software development experience; 2+ years of non-intternship 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 experience; 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; Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience; Experience building or operating LLM-powered agent systems (tool use, ReAct loops, multi-step orchestration); Experience with agent evaluation frameworks — offline evaluation, LLM-as-Judge, composite scoring, or quality measurement at scale; Experience hosting or serving large language models at scale (model deployment, inference optimization, GPU cluster management, vLLM/TensorRT)