Agentic AI & Data Science Intern — Materials ML Prototyping

carlislecompanies; Carlisle (Cumberland County); On-site; USD 28,000 - 41,000; Full time

Job summary

Carlisle Companies is seeking an AI & Data Science Engineering Intern to support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The role will work on agentic AI workflows, computer vision, and data science to accelerate R&D in construction materials and build end-to-end prototypes that integrate backend services, AI models, and user interfaces.

You will design and develop agentic AI workflows, build backend APIs with FastAPI, create

Qualifications

• Proficient in Python with data and ML libraries.
• Experience with backend frameworks (FastAPI/Flask/Django) and frontend tools (Streamlit/Reflex/React).
• Familiarity with LLMs and orchestration tools (LangChain, LlamaIndex).

Responsibilities

• Assist design and development of agentic AI workflows.
• Develop backend APIs to support AI/data science apps.
• Build interactive dashboards and prototypes for stakeholders.
• Contribute to computer vision workflows and defect detection.
• Perform data wrangling, exploratory analysis, and modeling.
• Collaborate to design, test, and iterate ML models.
• Document methodologies and present outcomes to stakeholders.

Skills

Python programming

Data analysis

ML & CV concepts

Education

Master’s or PhD in Computer Science or related field

Tools

FastAPI

Flask

Django

Streamlit

Reflex

React

OpenCV

TensorFlow

PyTorch

LangChain

LlamaIndex

Job description

Carlisle Companies is seeking an AI & Data Science Engineering Intern to support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The role will work on agentic AI workflows, computer vision, and data science to accelerate R&D in construction materials and build end-to-end prototypes that integrate backend services, AI models, and user interfaces.

You will design and develop agentic AI workflows, build backend APIs with FastAPI, create