MOTOR Information Systems is launching a multi-year AI transformation initiative , and we’re looking for a sharp, motivated intern to help us build and modernize the foundations behind it.

This is a hands-on internship working with agentic AI workflows and a modern data platform (e.g., Databricks). If you like turning messy problems into clean, testable solutions, and you don’t panic when the word “agentic” shows up in a sentence- keep reading.

Summer 2026 | 11 weeks | 35 hours/week | $20/hour | Remote/Hybrid (as applicable)

What we’re looking for

• Undergraduate student (graduation: Summer 2026)
• GPA: 3.6+
• Skills/experience with:
  • Python
  • SQL
  • General coding
  • C/C++ or C# (helpful)
  • Microsoft Excel and Microsoft Word
  • Data research
  • A basic understanding of LLMs and modern agentic AI principles

• Support delivery of small, well-scoped modernization initiatives involving agentic AI workflows and a modern data platform
• Build and maintain simple data pipelines (ingest, transform, validate) using SQL and Python
• Assist with prototyping agentic AI use cases (task automation, knowledge retrieval, workflow orchestration) with a focus on safe, testable implementations
• Create reusable components (notebooks/scripts) following team standards for naming, structure, and configuration
• Implement basic evaluation and testing: unit tests (where applicable), data validation checks, and repeatable run instructions
• Practice solid dev hygiene: Git, clear pull requests, requesting code reviews, and issue tracking updates
• Produce clear documentation for everything delivered (“what it does,” “how to run it,” “how to troubleshoot it,” known limitations)
• Monitor/report on job runs or prototype performance using simple dashboards/logs, flag failures fast with actionable detail
• Collaborate asynchronously: daily written updates, ask clarifying questions early, propose next steps when blocked
• Follow security/compliance expectations (handle data appropriately, don’t embed secrets, use approved tools/environments)
• Take ownership of a defined backlog and deliver incremental results weekly with demos/walkthroughs