Join Amazon's International Seller Services (ISS) organization as a Software Development Engineer, contributing to cutting-edge products and tools for third-party sellers worldwide. This role is instrumental in developing innovative solutions that leverage generative and agentic AI to revolutionize seller workflows, supporting their growth and expansion.

Our team is dedicated to empowering sellers and account managers globally by creating intelligent tools that assist in daily operations, compliance, and market expansion. We are at the forefront of AI innovation, building transformative products from the ground up.

As a critical member of our software engineering team, you will build sophisticated Seller and Account Manager tools and transformative solutions powered by cloud computing and generative AI. This position offers a unique chance to work with agentic AI and distributed systems, developing new products and enhancing existing ones.

Your daily activities will involve collaborating with engineers on a diverse range of products, including AI assistants for seller onboarding and compliance, as well as automating workflows for account managers. You will partner closely with Product Managers and Account Managers globally to define and deliver compelling user experiences, and work with other engineering and applied science teams to integrate the latest advancements in generative AI.

We are seeking candidates with a solid foundation in software development, including 3+ years of professional non-internship experience. A minimum of 2 years in designing and architecting reliable and scalable systems is essential. Proficiency in at least one modern programming language like Java, C++, or C#, with a strong understanding of object-oriented design, is required.

Experience with the full software development life cycle, encompassing coding standards, code reviews, source control, build processes, testing, and operations, is crucial. A Bachelor's degree or equivalent is a prerequisite for this role. Experience building generative AI and agentic AI solutions in a fast-paced environment is highly preferred.