Summer Internship Program 2027 - Agentic AI Data Science Intern
Full-time onsite summer 2027 internship in Jacksonville, FL: the intern advances generative/agentic AI solutions via rapid prototyping, model fine-tuning and evaluation, and integration with enterprise apps, working with Python, LLMs, embeddings, prompt engineering, NLP, retrieval systems (GraphRAG), and multi-agent systems.
- Compensation
- Not disclosed
- Location
- OFF USA: FL Jacksonville (4800 Deer Lake Drive)
- Work setup
- Onsite
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Currently enrolled at an accredited university, advancing to junior year, in computer science, data science, AI/ML, or related field
- Familiarity with Python
- Exposure to NLP/NLU concepts, small language models, vector databases, and retrieval systems such as GraphRAG
- Interest in agentic AI and multi-agent systems (MCP, A2A, ontologies, knowledge graphs)
- Comfortable with Git/GitHub and dev environments like Jupyter Notebooks or VS Code
- Strong communication skills and willingness to learn and experiment
- Available full-time, five days a week, at the Jacksonville office for the entire program duration
Nice to have
- Exposure to PyTorch, TensorFlow, or FastAPI
Full description
The ICE Internship Program offers a dynamic opportunity to combine hands-on, impactful work on projects that shape our business, alongside practical career and professional development. You’ll build meaningful connections, strengthen your interpersonal skills, and contribute in ways that truly make a difference.
Beyond your day-to-day responsibilities, you’ll participate in weekly sessions led by industry leaders, connect with fellow interns, and deepen your understanding of the financial services, technology, and mortgage industries.
The Agentic AI Data Science Intern will contribute to the development of generative and agentic AI solutions by supporting model experimentation, integration, and research across real-world business use cases.
Responsibilities
- Assist in advancing generative AI and agentic AI solutions through rapid prototyping, model experimentation, fine-tuning, and evaluation
- Support integration of AI solutions with enterprise applications and data platforms
- Support the development of applications using LLMs, embeddings, and prompt engineering
- Collaborate on research and experimentation in areas such as NLP, retrieval systems, knowledge graphs, and multi-agent systems, while documenting findings and participating in agile workflows
- Perform additional duties and contribute to projects as assigned
Knowledge and experience
- Must be currently enrolled in a degree program at an accredited university, be at least advancing to their junior year of study, and pursuing a degree in computer science, data science, AI/ML, or a related field
- Familiarity with Python; exposure to tools like PyTorch, TensorFlow, or FastAPI is a plus
- Exposure to NLP/NLU concepts, small language models, vector databases, and retrieval systems such as GraphRAG
- Interest in agentic AI and multi-agent systems, including Model Context Protocol (MCP), agent-to-agent (A2A) communication, ontologies, and knowledge graphs
- Comfortable using Git/GitHub and development environments like Jupyter Notebooks or VS Code, with strong communication skills and a willingness to learn and experiment
Internship program schedule
To accommodate varying academic calendars, the ICE Internship Program offers two schedule options:
- Option 1: May 24, 2027 – August 6, 2027
- Option 2: June 7, 2027 – August 20, 2027
Candidates will be asked to select their preferred session during the application process.
Please Note: Interns must be available to work full-time, five days a week, at our Jacksonville office for the entire duration of one of the designated program schedules. Partial participation or alternate dates cannot be accommodated.