Staff Engineer, AI Native

🏢 Sony · all 6 jobs
📍 United States
💰 USD 200,000 - 240,000 / annual
📅 Posted Sep 18, 2026 · via Himalayas
🏷 Software Engineer, AI Native Engineering, Fullstack Development, Backend Engineering, Frontend Engineer, Staff AI Engineer +8 more
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Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content—and the creators—they love. Our mission is to unlock meaningful, data-driven engagement across Sony ’s entertainment ecosystem, from games and anime to music, film, and live experiences—empowering both internal teams and external partners to build at scale. Our mission is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what’s possible in the realm of engagement. To learn more visit:www.sony.com/en/ Sony Info/technology/stories/entries/sep_introduction/

Staff Software Engineer – AI-Native

Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content—and the creators—they love. Our mission is to unlock meaningful, data-driven engagement across Sony ’s entertainment ecosystem, from games and anime to music, film, and live experiences—empowering both internal teams and external partners to build at scale. The goal is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what’s possible in the realm of engagement.

Role Overview

SEPS is seeking a highly skilled and experienced AI-Native Staff Software Engineer to support the development of the applications that power the Sony Engagement Platform. In this role, you will design and build secure, scalable, and high-performing solutions that deliver exceptional user experiences across Sony 's global ecosystem.

As a Staff Engineer, you will contribute to both front-end and back-end systems, playing a hands-on role in architecture, implementation, and technical leadership. You will operate as part of an AI-native tiny team, directing and governing AI agents across the full delivery lifecycle. You’ll collaborate closely with product managers, designers, and other engineering teams to build robust, maintainable applications. This is a dynamic opportunity for individuals who thrive in a fast-paced, innovation-driven environment and are passionate about solving complex challenges with clean, thoughtful code.

Responsibilities

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Architect, design and develop RESTful API Endpoints, ensuring high performance, scalability and maintainability.

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Collaborate closely with front-end engineers to build dynamic, responsive, and user-centric web applications that deliver seamless user experiences.

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Define robust data models and database schemas, and manage relational or NoSQL databases with a strong emphasis on data integrity and performance optimization.

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Direct and govern AI coding agents across the delivery lifecycle, setting context, r

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