AI/ML Intern Generative AI and 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.

Job Summary

We are looking for a motivated AI/ML Intern Generative AI and 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

• 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).

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).

Additional Information

While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Ensora Health is an equal opportunity employer.

Key skills/competency

• Generative AI
• AI Agents
• Document Analysis
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLMs)
• Prototype Development
• Data Preparation
• Model Evaluation
• Python
• Machine Learning