Sr. Software Development Engineer, Shopping (Rufus

Software Development Engineer

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!

Key job 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.
• Help 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, partnering with technical and business leaders in a collaborative environment to create value for our customers.
• 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.