AI/ML Intern - Generative AI & Intelligent Systems

About Ensora Health

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.

About the AI/ML Intern - Generative AI & Intelligent Systems Role

We are looking for a motivated AI/ML Intern - Generative AI & Intelligent Systems to join Ensora Health’s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you’ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers.

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 & exploration: Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex.
• Prototype development: Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems.
• Data preparation: Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases.
• Testing & quality assurance: Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability.
• Documentation & collaboration: Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams.
• Performance evaluation & reporting: Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports.

Examples of projects you may work on during the 10‑week internship:

• Developing a functional AI agent prototype to streamline internal workflows and knowledge access.
• Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval.
• Implementing a document analysis pipeline to extract structured data from healthcare documents.
• Delivering prototypes, documentation, and performance reports for assigned AI use cases.

What You Bring

Education & background

• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience).
• Juniors and Seniors preferred.

Technical Skills

• Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow).
• Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation).
• Working knowledge of SQL and data handling (ideally PostgreSQL or similar).

Nice‑to‑have Experience

• Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks.
• Experience with vector databases and RAG patterns.
• Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.

Mindset & Soft Skills

• Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques.
• Comfort working with data, running experiments, and iterating based on results.
• Ability to document work clearly, collaborate with others, and ask thoughtful questions.
• Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA).

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Python
• PyTorch
• TensorFlow
• Natural Language Processing (NLP)
• SQL
• Vector Databases