AI Product Engineer Intern, Summer 2027

Global Brain Corporation

. Support the design and development of AI-powered features across front-end, back-end, and data workflows .

Posted 10/30/2026internshipSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates capabilities in AI-powered feature development, software engineering fundamentals, and effective collaboration with cross-functional teams. Proficient in translating customer needs into actionable product requirements while maintaining a focus on performance and usability.

Highest-signal resume keywords

Python ProgrammingTypeScript DevelopmentReact FrameworkREST API IntegrationMachine Learning Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development FundamentalsData AnalysisAI Model IntegrationPrototypingPerformance Improvement

Soft Skills

Clear CommunicationCollaborationProblem SolvingCuriosityOwnership

Tools & Technologies

Cloud PlatformsAI-Powered ApplicationsWeb Technologies

Industry Keywords

Government WorkflowsHealthcare OutcomesCritical Infrastructure

Tech Stack

Tools & technologies

CloudPythonReactTypeScript

About the role

Key responsibilities & impact

Support the design and development of AI-powered features across front-end, back-end, and data workflows
Help prototype and ship internal tools and customer-facing applications using modern web technologies
Work with product managers and engineers to translate customer problems into clear product requirements
Gain exposure to integrating AI models into real-world software systems
Partner with engineers, researchers, and operators to test, iterate, and improve AI-driven workflows
Participate in design discussions, sprint planning, and code reviews
Assist with improving the performance, reliability, and usability of deployed applications
Analyze data, evaluate AI outputs, and iterate based on real customer feedback
Contribute to projects modernizing government workflows, improving healthcare outcomes, or optimizing critical infrastructure
Work on production-deployed AI applications used by real users

Requirements

What you’ll need

Current undergraduate student, specifically a junior or senior graduating no later than June 2028
Pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Experience with software development fundamentals through coursework, internships, or personal projects
Familiarity with or willingness to learn Python, TypeScript, React, REST APIs, and cloud platforms
Curiosity about AI systems, product thinking, and real-world machine learning applications
Ability to solve ambiguous problems and learn quickly in fast-paced environments
Clear communication, collaboration, and ownership
Excitement to work directly on impactful problems rather than purely theoretical projects
Currently legally authorized to work in the US
Availability to work full-time for the entire internship period

Benefits

Comp & perks

Competitive internship compensation
Hands-on mentorship from experienced AI engineers and researchers
Opportunity to work on real production systems used globally
Potential return-offer consideration for future internships or full-time roles
Daily lunches (if onsite)