Software Development Engineer - Shopping Personalization AI, Amazon Stores

Amazon Switzerland seeks a Senior Software Development Engineer to build AI-driven personalization features for Amazon Stores, focusing on LLM integration and scalable production systems.

This position centers on creating and maintaining features that help customers find products aligned with their individual tastes. The engineer will determine how large language models are incorporated into real-time personalization engines, ensuring these AI-powered experiences are delivered reliably to a massive user base. The role demands ownership over technical decisions in an environment that prioritizes rapid experimentation and fast-paced development.

Responsibilities

• Create, validate, and manage production-level AI functionalities utilized by various teams across Amazon's infrastructure.
• Provide complete solutions that prioritize long-term maintainability, high performance, and system reliability.
• Partner with Product and Science teams to shape user experiences, conduct tests, and refine features based on data insights.
• Develop AI-driven tools such as personalized recommendations and knowledge-based features using generative AI and LLMs.
• Establish measurement frameworks, including analytics events and experiment setups, to monitor user engagement and retention.
• Make effective technical choices in complex scenarios where standard patterns may not apply.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a closely related discipline.
• At least five years of professional software development experience, excluding internships.
• Proficiency in modern programming languages like Java, C++, or C#, with a strong grasp of object-oriented design principles.
• Hands-on experience throughout the full software development lifecycle, covering coding standards, peer reviews, version control, build automation, testing, and operational tasks.
• Proven ability to contribute to the architectural design of new and existing systems, focusing on scalability, reliability, and design patterns.

Nice to have

• Background in creating server-side rendered web applications and performance-focused UI rendering techniques.
• Experience with A/B testing, analytics instrumentation, and using metrics to drive iterative improvements.
• Familiarity with integrating AI/ML models and applying generative AI solutions.
• Ownership of the end-to-end SDLC, including operational duties, on-call rotations, monitoring, and incident response or root cause analysis.
• Experience in mentoring fellow engineers and promoting engineering best practices.

About the company

The team operates as a high-performing group that combines Amazon's strengths in machine learning, big data, distributed systems, and user experience design. Their vision is to elevate the shopping journey on Amazon by applying advanced personalization techniques. The primary objective is to uncover opportunities for personalization that optimize customer experiences, ultimately enhancing the search and discovery process across the platform.

• The organization encourages rapid movement and values engineers who take real ownership of their projects.
• The team leverages deep expertise in machine learning and distributed systems to solve complex user experience challenges.
• There is a strong focus on experimentation and data-driven iteration to improve product outcomes.