Applied AI Engineer Intern: Build AI Tools & Pipelines

CCC Information Services; Chicago (IL); On-site; USD 28,000 - 59,000; Full time

Benefits offered by this job

401K Match

Paid time off

Annual Incentive Plan

Job summary

CCC Intelligent Solutions Inc. is seeking an Applied AI Engineering Intern to design, prototype, and deliver AI-powered tools across CCC.

You will work closely with the AI Transformation Engineer to apply modern AI technologies, including large language models, AI agents, and retrieval systems, to real business challenges and internal tool development. Responsibilities include building AI-powered solutions, reviewing and debugging AI-generated code, and collaborating with cross-functional teams

Qualifications

• Pursuing degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
• Proficiency in Python and version control basics.
• Experience using AI coding assistants or AI-assisted development tools.
• Familiarity with APIs, AI/LLM concepts, and prompt engineering.

Responsibilities

• Design and build AI-powered tools, automations, and prototypes for CCC teams.
• Develop solutions using LLMs, RAG, AI agents, and related AI tech.
• Review, test, and debug AI-generated code for security and reliability.
• Build integrations and workflows connecting AI solutions to enterprise data sources.
• Collaborate with engineers, data scientists, and stakeholders to deliver impact.

Skills

Python

Problem-solving

Communication

Collaborative skills

Education

CS/Engineering/Data Science degree (in progress)

Tools

Git

GitHub Copilot

APIs

Cursor

Job description

CCC Intelligent Solutions Inc. is seeking an Applied AI Engineering Intern to design, prototype, and deliver AI-powered tools across CCC.

You will work closely with the AI Transformation Engineer to apply modern AI technologies, including large language models, AI agents, and retrieval systems, to real business challenges and internal tool development. Responsibilities include building AI-powered solutions, reviewing and debugging AI-generated code, and collaborating with cross-functional teams