AI Staff DevEx Engineer

PlayStation Global • Aliso Viejo, CA

2h

About The Position

Why PlayStation? PlayStation 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 PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation 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 PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. The Role: 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.

Requirements

• Expert programming skills in Python and TypeScript, 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)
• Proficiency with CI/CD pipelines, GitOps workflows, and infrastructure-as-code practices
• Experience building and operating developer platforms, internal tooling, or platform-as-a-service offerings
• Strong debugging skills and experience with observability tools (logging, metrics, tracing)
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similar
• Understanding of RAG architectures, embedding models, and vector databases
• Familiarity with agentic frameworks (LangGraph, Pydantic) and multi-agent orchestration patterns
• Experience with prompt engineering, templating systems, and systematic prompt optimization
• Excellent written and verbal communication skills with the ability to create clear technical documentation
• Strong product sense and empathy for developer users
• Ability to navigate ambiguity and make pragmatic technical decisions in a rapidly evolving space
• Track record of driving adoption of tools and platforms across engineering organizations

Responsibilities

• Platform Backend & API Development
• Build comprehensive REST APIs and MCP (Model Context Protocol) servers that expose platform capabilities to developers
• Develop robust Python and TypeScript 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
• Developer Experience Optimization
• 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, quickstarts, 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
• Observability & Evaluation
• 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
• Security & Compliance
• 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
• Research & Innovation
• 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

Benefits

• medical
• dental
• vision
• matching 401(k)
• paid time off
• wellness program
• employee discounts for Sony products
• bonus package

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed