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# Software Development Engineer, Amazon Shopping

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $165,200.0 - $223,600.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Design Patterns, Distributed Systems, Perl (Programming Language), Machine Learning, Object-Oriented Software Development, Scrum Methodology, Service-Oriented Architecture, Software Engineering, Workflow Management Systems, Multithreading, Large Language Models, Information Technology, Optimization Algorithms, Build Process, Api Design, Software Coding, Software Version Control, Programming Languages
- **Published:** August 2, 2026
- **Apply:** https://www.juju.com/job/00000000gl03x8

## About the Role

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 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 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

 - Prior experience working with Agentic Evaluations or Agentic Workflow Orchestration

## Description

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., We're looking for an experienced Software Development Engineer with expertise in back-end system and online service to architect, design, and develop agentic services and applications powered by large language model.

In this role, you will build expertise in online service architecture, API development, and distributed systems that power responsive agentic AI applications at scale. You'll get opportunities to develop service orchestration patterns, efficient agent frameworks, and real-time processing systems, partnering with engineers and scientists in a fast-paced environment to deliver exceptional user experiences. You'll also contribute to our technical roadmap, service reliability metrics, and optimizations focused on building intelligent agents that can effectively reason, plan, and execute complex tasks on behalf of users.

In this role, you'll help establish best practices that improve LLM application efficiency, enable new agentic AI features for Stores customers with LLM capabilities. You'll work with your team to design, implement large scale distributed agentic AI applications at scale, partnering with technical and business leaders in a collaborative environment to create value for our customers. You'll also contribute to prioritization, estimation, and sprint planning activities.

About the team

The charter of the Amazon Shopping Team is to improve shopping on Amazon using the conversational capabilities of large language models. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping.


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