Sr. Software Engineer, AI Native
Listed on 2026-06-26
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Software Development
Full Stack Developer, Backend Developer, Front End Developer, AI Engineer (Applied/Software)
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 decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency.
Role OverviewSEPS is seeking a highly skilled and experienced AI‑Native Senior 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 Senior 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.
This position is a hybrid role requiring 3 days on‑site in our Culver City, CA Office.
Responsibilities- Architect, design and develop RESTful API endpoints, ensuring high performance, scalability and maintainability.
- Collaborate closely with front‑end engineers to build dynamic, responsive, and user‑centric web applications that deliver seamless user experiences.
- Define robust data models and database schemas, and manage relational or No
SQL databases with a strong emphasis on data integrity and performance optimization. - Direct and govern AI coding agents across the delivery lifecycle, setting context, reviewing agent‑generated output, and enforcing SEPS delivery standards at every gate.
- Design and maintain agent workflows using agentic coding tools (Claude Code, Cursor, Copilot) and the AI‑native development framework, ensuring structured, auditable, and high‑quality delivery.
- Configure and maintain prompt engineering patterns, structured output schemas, with rules and guardrails to align agent behavior with SEPS platform standards.
- Trace, debug, and triage agent tool calls, prompt failures, and unexpected outputs, maintaining visibility into AI‑assisted delivery at every stage.
- Create and maintain clear, comprehensive documentation for application architecture, design, configuration, and ongoing maintenance.
- Provide accurate task estimations and delivery timelines, contributing to effective sprint planning and execution.
- Participate in the on‑call rotation, responding promptly to production issues and ensuring system stability and uptime.
- Mentor and support junior engineers, fostering a culture of AI‑native ways of working, learning, and continuous improvement.
- Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above.
- 5+ years professional experience working with medium/large complex code bases.
- Experience in Full Stack development.
- Experience with one or more of the following programming languages:
Java, Go, or Python. - Experience in REST API design and implementation.
- Highly Proficient in HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Ember, Jest, Babel, and Type Script.
- Knowledgeable in UI/UX design principles.
- Demonstrated proficiency with AI‑native coding tools (Claude Code, Cursor, or Git Hub Copilot) as a primary delivery vehicle, not a productivity add‑on.
- Working knowledge of prompt engineering, context management, and structured output patterns.
- Familiarity with agent development concepts, tool use, function calling, approvals,…
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