Senior Software Engineer, AI Native

Sony Group Corporation

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Culver City, CA
Salary
$180,000–$205,000 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $192k
$130k $238k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $149,500–$217,462 — the blue band above. At the midpoint, this role pays about $192k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Sony Group Corporation

Sony Group Corporation is a Tokyo-based multinational conglomerate and a leading global entertainment and technology company.

Sony Group Corporation currently has 24 open roles on FindRole.

Listed pay typically runs $157,000–$190,000 across 15 roles with salary data.

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View all roles at Sony Group Corporation

At a glance

TL;DR · Senior Software Engineer, AI Native

The Sr. Software Engineer, AI Native joins the Sony Engagement Platform Services team to develop applications for a next-generation platform powering fan connections across entertainment ecosystems. This role involves designing and building secure, scalable, and high-performing solutions, including architecting RESTful API endpoints and defining robust data models for relational or NoSQL databases. You will operate within an AI-native tiny team, directing and governing AI agents across the full delivery lifecycle using tools like Claude Code, Cursor, and Copilot. Key responsibilities include managing prompt engineering patterns, tracing agent tool calls, and collaborating on front-end systems using JavaScript, React, TypeScript, HTML, and CSS. You will solve complex technical challenges by implementing clean code and maintaining system stability within a dynamic, innovation-driven digital engagement environment.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Architect, design, and develop high-performance RESTful API endpoints for the Sony Engagement Platform.
  • Build dynamic, responsive, and user-centric web applications in collaboration with front-end engineers.
  • Define robust data models and manage relational or NoSQL databases to ensure data integrity.
  • Direct and govern AI coding agents across the full delivery lifecycle, including reviewing agent-generated output.
  • Design and maintain agent workflows using tools like Claude Code, Cursor, and Copilot.
  • Configure prompt engineering patterns and structured output schemas with specific rules and guardrails.
  • Trace, debug, and triage agent tool calls and prompt failures to maintain visibility into AI-assisted delivery.
  • Create comprehensive documentation for application architecture, design, configuration, and ongoing maintenance.

What we're looking for

  • 5+ years of professional experience working with medium/large complex code bases.
  • Experience in Full Stack development.
  • Experience with one or more of the following programming languages: Java, Go, or Python.
  • Experience in REST API design and implementation.
  • Highly proficient in HTML, CSS, the JavaScript ecosystem, and frameworks like React, Angular, Ember, Jest, Babel, and TypeScript.
  • Demonstrated proficiency with AI-native coding tools (Claude Code, Cursor, or GitHub Copilot) as a primary delivery vehicle.
  • Working knowledge of prompt engineering, context management, and structured output patterns.
  • Familiarity with agent development concepts, tool use, function calling, approvals, and workflow chaining.
  • Bachelor’s degree in Computer Science or related field, or at least three years of proven experience in lieu of a degree (preferred).
  • Database management, cloud technologies (AWS), and containerization (Docker, Kubernetes) (preferred).
  • Knowledge of React best practices (preferred).
  • Familiarity with DevOps tools and practices, including CI/CD pipelines (preferred).
  • Experience with the AI-native development framework (e.g. BMad Method) (preferred).
  • Eval basics, writing test cases, applying LLM-as-judge concepts, and defining acceptance criteria for AI-generated output (preferred).

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