Senior AI Engineer — Agentic Systems & Tools

Sony Interactive Entertainment Inc. (Japan); Aliso Viejo (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Sony Interactive Entertainment seeks an experienced software engineer to drive agentic AI capabilities across PlayStation-related platforms. You will design production-grade agentic apps, build MCP interfaces, and optimize context management for multi-agent systems.

The role includes mentoring teams and delivering secure, observable AI-enabled features. You will collaborate with engineering teams to prototype and deploy AI capabilities, own the lifecycle from design to deployment, and contribute

Qualifications

• 6+ years of professional software engineering experience with AI/LLM-powered or agentic applications.
• Strong programming skills across Java, Python, Go, Rust, or C++ with solid API design and debugging.
• Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, and context management.
• Experience designing MCP tool/resource interfaces and integrating AI into CI/CD workflows.

Responsibilities

• Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses and multi-agent orchestration.
• Design MCP tool and resource interfaces for safe, reliable access to backend systems and data.
• Engineer prompts for reliable JSON output and validation, plus evaluation frameworks.
• Mentor engineers on agentic patterns, prompt engineering, and agent-native development practices.
• Partner with engineering teams to understand workflows and rapidly prototype new AI capabilities.
• Own full lifecycle from implementation to monitoring and iteration.

Skills

Java

Python

Go

Rust

C++

LLMs

Agentic SDKs

MCP

API design

CI/CD

Tools

AWS

Docker

Kubernetes

Terraform

GitOps

Job description

Sony Interactive Entertainment seeks an experienced software engineer to drive agentic AI capabilities across PlayStation-related platforms. You will design production-grade agentic apps, build MCP interfaces, and optimize context management for multi-agent systems.

The role includes mentoring teams and delivering secure, observable AI-enabled features. You will collaborate with engineering teams to prototype and deploy AI capabilities, own the lifecycle from design to deployment, and contribute