Sr. Software Development Engineer, Amazon Shopping (Rufus)

Amazon • Palo Alto, CA

1d • Onsite

About The Position

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!

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.

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.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Nice To Haves

• 5+ 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)

Responsibilities

• Architect, design, and develop agentic services and applications powered by large language model.
• Build expertise in online service architecture, API development, and distributed systems that power responsive agentic AI applications at scale.
• Develop service orchestration patterns, efficient agent frameworks, and real-time processing systems.
• Partner with engineers and scientists in a fast-paced environment to deliver exceptional user experiences.
• 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.
• Establish best practices that improve LLM application efficiency.
• Enable new agentic AI features for Stores customers with LLM capabilities.
• Design and implement large scale distributed agentic AI applications at scale.
• Partner with technical and business leaders in a collaborative environment to create value for our customers.
• Contribute to prioritization, estimation, and sprint planning activities.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed