Applied AI Engineering Intern

CCC Intelligent Solutions•Chicago, IL

About The Position

As an Applied AI Engineering Intern, you will help design, prototype, and deliver AI-powered solutions that improve how teams work across CCC. Working closely with the AI Transformation Engineer, you will apply modern AI technologies—including large language models, AI agents, automation platforms, and retrieval systems—to solve real business challenges and create internal tools that drive efficiency and innovation.

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.
Ability to communicate technical concepts and collaborate effectively with cross-functional teams.

Nice To Haves

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.

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.