Applied AI Engineering Intern

About the role

The Role
As an Applied AI Engineering Intern, you will help design, prototype, and deliver AI-powered solutions that improve how teams work across CCC.

Key Responsibilities

• Design and build AI-powered tools, automations, and prototypes that support business and technology teams.
• Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and related AI technologies.
• Use AI-assisted development tools such as GitHub Copilot, Cursor, and similar platforms to accelerate software development.
• Review, test, debug, and improve AI-generated code to ensure solutions are secure, reliable, and maintainable.
• Build integrations, APIs, and workflows that connect AI solutions with enterprise systems and data sources.
• Research and evaluate emerging AI technologies and recommend opportunities for adoption.
• Collaborate with engineers, data scientists, business stakeholders, and platform teams to deliver impactful solutions.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; equivalent project experience will also be considered (Portfolio or Github).
• Proficiency in Python and foundational software development practices, including version control and debugging.
• Experience using AI coding assistants or AI-assisted development tools.
• Familiarity with APIs, AI/LLM concepts, prompt engineering, or related technologies.
• Strong problem-solving skills, technical curiosity, and the ability to learn new technologies quickly.
• Able to communicate technical concepts and collaborate effectively with cross-functional teams.

Preferred Qualifications

• Experience with RAG, vector databases, AI agents, or workflow automation.
• Familiarity with JavaScript, TypeScript, React, or other modern development frameworks.
• Exposure to cloud platforms (AWS, Azure, or Google Cloud), DevOps tools, or infrastructure automation.
• Experience building integrations, data pipelines, or internal business applications.