AI Product Engineer Intern — Real Production AI

Brain Co.; San Francisco (CA); On-site; USD 50,000 - 61,000; Full time

Benefits offered by this job

Competitive internship compensation

Hands-on mentorship

Work on real production systems

Potential return-offer

Daily lunches (onsite)

Job summary

Brain Co. seeks an AI Product Intern to work with engineers, researchers, and product leaders to design, build, and deploy AI-powered software solving real-world problems. This hands-on role covers the full product lifecycle from understanding customer needs to shipping production-grade AI applications.

You’ll contribute to live projects used by governments, healthcare systems, and industrial partners, while learning how cutting-edge AI is turned into scalable products.

Qualifications

• Current undergraduates (juniors/seniors) graduating June 2028 in CS/ML/Data Science.
• Experience with software development fundamentals through coursework or projects.
• Familiar with Python, TypeScript, React, REST APIs and cloud platforms.

Responsibilities

• Build and ship AI-powered features across front-end, back-end, and data workflows.
• Learn product and engineering practices by translating customer problems into requirements.
• Collaborate with engineers, researchers, and operators in design, sprint planning and reviews.
• Assist in improving performance, reliability, and usability of deployed AI apps.
• Contribute to projects impacting government, healthcare, or critical infrastructure.

Skills

Python

TypeScript

React

REST APIs

Cloud platforms

Education

Undergraduate student (CS/ML/Data Science)

Job description

Brain Co. seeks an AI Product Intern to work with engineers, researchers, and product leaders to design, build, and deploy AI-powered software solving real-world problems. This hands-on role covers the full product lifecycle from understanding customer needs to shipping production-grade AI applications.

You’ll contribute to live projects used by governments, healthcare systems, and industrial partners, while learning how cutting-edge AI is turned into scalable products.