Senior Software Engineer AI (Contractor)
Sony Interactive Entertainment Global · United States, Aliso Viejo, CA
About this role
**Why Sony Interactive Entertainment?** Sony Interactive Entertainment (SIE) isn’t just the Best Place to Play—it’s also the Best Place to Work. As the company behind the PlayStation brand, SIE delivers cutting-edge hardware and network services to 100M+ people and creates experiences for some of the world’s most beloved IP. --- ## Agentic & AI Engineering - Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses (multi-agent orchestration, subagent delegation, tool integration, lifecycle hooks). - Design Model Context Protocol (MCP) tool and resource interfaces for safe, reliable access to backend systems and enterprise data. - Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure/improve output quality. - Manage context across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. ## Developer Productivity - Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. - Integrate agentic development into CI/CD for automated code review, test generation, and PR feedback—tuned to minimize false positives and duplicate findings. - Build and maintain MCP server integrations (project- and user-scoped) to extend agent-native development across engineering workflows. - Identify high-value opportunities for AI-assisted development and build reusable capabilities multiple teams can adopt. ## Discovery, Prototyping & Production Delivery - Partner with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. - Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. - Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. ## Technical Leadership - Provide hands-on technical leadership via architecture discussions, code reviews, and troubleshooting of agentic systems. - Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. - Communicate tradeoffs, risks, and results clearly to technical and non-technical stakeholders. - Contribute to engineering standards, reusable patterns, and documentation for teams building with agentic tools. --- ## Requirements - 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. - Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals (API design, testing, debugging, code review, maintainable code). - Production-grade experience with agentic SDKs/harnesses, MCP, and LLMs (tool use, orchestration, RAG, context management, structured output, evaluation). - Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems. - Demonstrated experience integrating AI into CI/CD and developer workflows. - Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions. - Strong written and verbal communication skills, including mentoring and leading through influence. - Ability to build and maintain an engineering knowl
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