Software Engineer, AI Native

Role Overview

Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. SEPS is building the next‑generation platform that powers how fans connect with the content and creators they love, unlocking meaningful, data‑driven engagement across Sony’s entertainment ecosystem—from games and anime to music, film, and live experiences. The mission is to create a world‑class engagement platform that enhances existing revenue streams and drives new opportunities through a robust ecosystem of partners and creators.

By decoupling application development from platform services, SEPS empowers teams to deliver exceptional solutions with agility and efficiency.

• Architect, design, and develop RESTful API endpoints ensuring high performance, scalability, and maintainability.
• Collaborate with front‑end engineers to build dynamic, responsive, and user‑centric web applications.
• Define robust data models and database schemas, managing relational or No
  
  SQL databases with a focus on data integrity and performance optimization.
• Direct and govern AI coding agents across the delivery lifecycle—setting context, reviewing output, enforcing SEPS delivery standards.
• Design and maintain agent workflows using AI‑native 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 and structured output schemas with rules and guardrails to align agent behavior with platform standards.
• Trace, debug, and triage agent tool calls, prompt failures, and unexpected outputs to maintain visibility into AI‑assisted delivery.
• Create and maintain comprehensive documentation for application architecture, design, configuration, and maintenance.
• Provide accurate task estimations and delivery timelines, supporting effective sprint planning and execution.
• Participate in the on‑call rotation, responding promptly to production issues to ensure system stability and uptime.
• Mentor and support junior engineers, fostering a culture of AI‑native ways of working, continuous improvement, and learning.
• Ensure honesty, trustworthiness, and ethical conduct in all responsibilities.

• 8+ years of professional experience with medium/large complex code bases.
• Full‑stack development experience.
• Proficiency in at least one of Java, Go, or Python.
• Experience in REST API design and implementation.
• Highly proficient in HTML, CSS, JavaScript ecosystem, and familiar with frameworks such as 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.
• Working knowledge of prompt engineering, context management, and structured output patterns.
• Familiarity with agent development concepts, tool use, function calling, approvals, and workflow chaining.
• Awareness of secure AI coding practices, including prompt injection, sandbox basics, and access control.
• Strong communication and interpersonal skills.
• Desire to collaborate and build strong, positive team relationships.
• Attention to detail, organizational skills, strong work ethic, and ability to work independently.

• Bachelor’s degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree.
• Ability to write clean, maintainable, well‑documented code.
• Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes).
• Knowledge of React best practices.
• Familiarity with Dev Ops tools and practices, including CI/CD pipelines.
• Experience with automated deployment tools (Terraform, Ansible, Jenkins).
• Experience with the AI‑native development framework (e.g., BMad Method).
• Familiarity with MCP, A2A concepts, tool‑connection patterns, and agent skill configuration.
• Eval basics, writing test cases, applying LLM‑as‑judge concepts, and defining acceptance criteria for AI‑generated output.
• Experience tracing and debugging prompt chains, tool calls, and agent failures.
• Understand…