Software Dev Engineer, Applied AI

Amazon's Applied AI team is seeking a Software Development Engineer II to join their innovative team working on cutting-edge LLM-based solutions. This role offers a unique opportunity to make a significant impact on customer experience while working at the intersection of Science and Engineering.

The position involves developing and maintaining systems that accelerate knowledge operations for Amazon's massive e-commerce business, which generates hundreds of billions in annual revenue. You'll be working with state-of-the-art technologies including Python, Java, container-based development, SageMaker, PyTorch, PyTorch Lightning, and Langchain.

As an SDE II, you'll be expected to work independently while collaborating with various stakeholders including Applied Scientists, Product Managers, and Technical Program Managers. The role requires strong understanding of distributed system design patterns and the ability to apply them in ML domains. You'll be responsible for integrating new software components, participating in code reviews, and contributing to design discussions.

The compensation package is comprehensive, ranging from $129,300 to $223,600 based on location, plus equity, sign-on payments, and extensive benefits. This is an excellent opportunity for someone passionate about AI technologies who wants to make a meaningful impact at scale.

The ideal candidate will have 3+ years of professional software development experience, strong programming skills, and experience with software architecture and design patterns. You'll be joining a team that's at the forefront of AI innovation, working on technologies that directly impact Amazon's global e-commerce operations.

This role offers significant growth potential and the chance to work with cutting-edge AI technologies while solving complex problems at scale. You'll be part of transforming how one of the world's largest e-commerce organizations operates, making this an exceptional opportunity for career development in the AI and machine learning space.