AI Engineer Intern: Prototyping AI-Driven Dev Tools

Sony Interactive Entertainment Inc. (Japan); San Mateo (CA); Hybrid; USD 63,000 - 89,000; Part time

Job summary

Sony Interactive Entertainment Inc. in the United States is seeking an AI Engineer Intern to prototype AI-enabled tools for internal developer workflows, focusing on code understanding, knowledge retrieval, task automation, and engineering insights.

You will build proof-of-concept services that integrate AI with source control, work tracking, and CI systems while evaluating model performance and reliability. Collaboration with engineers and product partners is essential.

Qualifications

• Pursuing a master's or doctoral degree with graduation between Dec 2027 and Spring 2028.
• Strong Python skills and solid software design, data structures, debugging, and testing.
• Hands-on ML/LLM project work through research, coursework, internships, or personal projects.
• Familiarity with REST APIs, Git, cloud services, and data stores; vector search is a plus.
• Ability to explain technical choices and work with a collaborative engineering team.
• Interest in developer productivity and responsible AI; willingness to learn new systems.

Responsibilities

• Prototype AI-assisted features and agent workflows for internal developer tools.
• Build proof-of-concept services connecting AI models with source control and CI.
• Evaluate model quality, latency, cost, and failure modes with repeatable tests.
• Develop data ingestion and retrieval pipelines with attention to permissions and quality.
• Collaborate with engineers and product partners to define problems and document decisions.

Skills

Python

Software design

Data structures

Debugging

Testing

ML/LLM apps

REST APIs

Git

Cloud services

Vector search

Education

Master's or PhD in CS/AI/ML/SE

Tools

Git

REST APIs

Vector search

Cloud services

Job description

Sony Interactive Entertainment Inc. in the United States is seeking an AI Engineer Intern to prototype AI-enabled tools for internal developer workflows, focusing on code understanding, knowledge retrieval, task automation, and engineering insights.

You will build proof-of-concept services that integrate AI with source control, work tracking, and CI systems while evaluating model performance and reliability. Collaboration with engineers and product partners is essential.