PlayStation Global-posted 5 days ago
$60 - $72/Yr
Mid Level
Onsite • Aliso Viejo, CA

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.

  • Design AI systems to enable both human-in-the-loop scenarios and fully autonomous operations.
  • Develop and orchestrate tool-augmented AI agents at scale using standard industry tooling.
  • Build AI-driven processes and infrastructure to accelerate test creation, maintenance, and root cause analysis.
  • Evaluate the performance, safety, and reliability of agentic AI systems within enterprise environments.
  • Work closely with development and testing teams for AI advocacy.
  • Be onsite for collaborations, demos, and other work.
  • 6+ years professional experience working with Python to build and maintain scalable applications and frameworks.
  • Demonstrated track record of developing, deploying, and maintaining AI/ML systems.
  • Demonstrated ability to write clean, maintainable, and well-documented Python code.
  • Strong verbal and written communication, with experience leading technical training sessions or demos.
  • BS or MS Degree in Computer Science or equivalent field.
  • Experience with AI coding assistants such as Cursor or GitHub Copilot.
  • Experience evaluating generative AI models and agentic systems.
  • Experience with distributed or LLM tracing using observability platforms such as Datadog.
  • Experience working with AI tooling and AI agent frameworks such as Langchain and Langgraph.
  • Experience with testing frameworks such as Pytest.
  • Understanding of all phases of the Software Testing Life Cycle (STLC).
  • In-depth database management, cloud technologies (AWS), and containerization (Docker, Kubernetes).
  • Familiarity with DevOps tools and practices, including CI/CD pipelines.
  • Excellent problem-solving skills and attention to detail.
  • Experience with Agile development methodologies such as Scrum
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