Intern

General Responsibilities:

We are looking for a hands-on AI Engineering Intern who has already built real projects and wants to work on practical AI systems deployed in engineering and infrastructure environments. This is not a research-only position.

You will help develop AI tools that analyze pavement imagery, automate engineering workflows, build AI agents, retrieve knowledge from large document collections, and support next-generation digital products. Projects include computer vision, large language models (LLMs), retrieval-augmented generation (RAG), GIS integration, and edge AI deployment.

Essential Roles and Responsibilities:

• Build and improve AI agents using modern LLM frameworks

• Develop RAG systems that search engineering documents and project archives

• Train and evaluate computer vision models for pavement distress detection

• Process and analyze drone, GoPro, LiDAR, and roadway imagery

• Create image annotation, quality-control, and training pipelines

• Experiment with edge AI deployment on NVIDIA Jetson hardware

• Build internal applications using Python, Azure AI, Copilot Studio, and APIs

• Integrate AI outputs with GIS, dashboards, and engineering workflows

• Evaluate commercial AI tools and benchmark them against internal solutions

• Prototype ideas quickly and present findings to engineers and leadership

Requirements:

• Pursuing BS/MS in:

• Computer Science
• Artificial Intelligence

• Machine Learning

• Data Science

• Robotics

• Computer Engineering

• Related field

• Strong Python experience

• Experience with at least one:

• PyTorch

• TensorFlow

• Ultralytics YOLO

• Detectron2

• HuggingFace

• Experience using LLMs beyond prompting