AI/ML Intern - Generative AI & Intelligent Systems

We are seeking a highly motivated AI/ML Intern to join our team and contribute to cutting‑edge initiatives involving Generative AI, AI agents, document intelligence, and Retrieval‑Augmented Generation (RAG) systems. In this 10‑week internship, you will work hands‑on with emerging technologies, build prototypes, and support real‑world AI solutions that enhance mental health care technology. This is an exciting opportunity for someone passionate about applied AI, experimentation, and solving meaningful problems.

Must haves:

• Must be a current college student in undergrad (junior or senior) or grad school.
• Close proximity to Orlando, FL.

What You’ll Do

• Research state‑of‑the‑art techniques in LLMs, AI agents, orchestration frameworks (e.g., LangChain, LlamaIndex), and generative AI workflows.
• Assist in building proof‑of‑concept prototypes for AI‑driven systems, including document analysis and intelligent automation.
• Prepare, clean, and structure datasets for training, evaluation, and experimentation.
• Validate model outputs, run error analyses, and support quality assurance processes.
• Create technical documentation for workflows, APIs, and integration steps.
• Benchmark model performance across accuracy, latency, and scalability metrics.
• Support development of AI agent prototypes, RAG systems, and document analysis pipelines as part of assigned projects.

What You Bring

• Currently pursuing a degree in Computer Science, Data Science, AI/ML, Software Engineering, Applied Mathematics, or a related discipline.
• Juniors and Seniors preferred.
• Proficiency in Python and familiarity with ML/DL frameworks (PyTorch, TensorFlow).
• Foundational understanding of LLMs, NLP concepts, and model evaluation.
• Working knowledge of SQL/PostgreSQL and general data handling practices.
• Curiosity and eagerness to explore emerging technologies in Generative AI.
• Nice‑to‑have: Experience with LangChain, vector databases, cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex).
• Interest in healthcare technology or health informatics is a plus.