AI DevEx Engineer

Why Play Station?

Play Station isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The Play Station family of products and services including Play Station®5, Play Station®4, Play Station®VR, Play Station®Plus, acclaimed Play Station software titles from Play Station Studios, and more.

Play Station also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The Play Station brand falls under Sony Interactive Entertainment, a wholly‑owned subsidiary of Sony Group Corporation.

We are seeking a highly skilled Staff AI Developer Experience Engineer to architect and build the foundational platform enabling teams across the enterprise to create, deploy, and manage AI agents, applications, and automations. This role sits at the intersection of platform engineering, developer tooling, and generative AI, focused on democratizing AI capabilities through exceptional developer experiences.

Our ideal candidate combines deep platform engineering expertise with hands‑on experience in generative AI tooling. You'll design the APIs, SDKs, CLI tools, and workflows that make it effortless for engineering teams to leverage AI capabilities, while ensuring production‑grade reliability, observability, and security.

• Build comprehensive REST APIs and MCP (Model Context Protocol) servers that expose platform capabilities to developers
• Develop robust Python and Type Script SDKs with intuitive abstractions for agent development
• Ensure feature parity between programmatic interfaces and low‑code platform capabilities
• Architect scalable backend services including LLM gateways, knowledge hubs, and tool registries

• Design intuitive development workflows and create scaffolding templates that minimize friction from idea to production
• Build reusable workflow components and abstractions for common AI development patterns
• Create comprehensive documentation, tutorials, quick starts, and example projects that enable self‑service adoption
• Build programmatic interfaces for agent creation, testing, deployment, and management
• Champion developer feedback loops and continuously iterate on platform usability based on user research

• Build and integrate debugging, tracing, and observability tools purpose‑built for AI applications
• Implement evaluation frameworks to systematically measure and improve agent quality, reliability, and performance
• Create testing and validation frameworks tailored for AI agent behaviors and LLM‑powered workflows
• Design dashboards and analytics that give developers visibility into agent performance and usage patterns

• Implement guardrails, content filtering, and safety measures to ensure responsible AI deployment
• Design secure patterns for credential management, API authentication, and data access controls
• Ensure platform compliance with enterprise security policies and data governance requirements

• Keep pace with the rapidly evolving AI landscape by experimenting with new models, frameworks, and techniques
• Evaluate emerging standards and tooling to inform platform roadmap and adoption decisions
• Share learnings with the broader team and contribute to the organization’s AI strategy and best practices

• Expert programming skills in Python and Type Script, with the ability to write clean, efficient, well‑documented, and idiomatic code in both languages
• Substantial experience designing and building RESTful APIs, SDKs, and developer‑facing tooling
• Deep understanding of API design principles, versioning strategies, and developer ergonomics
• Proficiency with async programming, message queues, and event‑driven architectures

• Strong experience with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS preferred)
• Proficien…