AI Product Intern

About Bask Health

Bask Health provides a full-service SaaS platform that enables doctors, entrepreneurs, and healthcare businesses to build, manage, and grow direct-to-consumer telehealth businesses.

We're an entrepreneurial, product-focused team that values ownership, speed, and exceptional execution. We work in small teams, tackle complex problems, and expect everyone to take an active role in building and improving our products.

About the Role

We're looking for an AI Product Intern to help explore, prototype, and improve AI-powered product experiences across Bask Health's telehealth platform.

You'll work closely with product managers, engineers, and designers to identify opportunities where artificial intelligence can solve real problems for merchants, patients, and internal teams.

This is a hands-on technical product internship. You'll experiment with AI models and tools, help build prototypes, evaluate outputs, and contribute to the development of practical AI-powered features.

We're looking for someone who is genuinely interested in how AI works, has experience experimenting with AI technologies, and enjoys turning ideas into working solutions.

You don't need professional AI engineering experience, but you should be able to demonstrate hands-on technical projects or experiments involving AI.

What You'll Do

• Support the discovery, development, and testing of AI-powered features across Bask's platform.
• Research opportunities to use AI to simplify workflows, improve user experiences, and reduce repetitive tasks.
• Build and test basic AI prototypes, proof-of-concept applications, and product experiments.
• Experiment with large language models, AI APIs, and AI-assisted development tools.
• Work with product managers and engineers to translate user problems into potential AI-powered solutions.
• Help write and refine prompts, define expected outputs, and evaluate model responses.
• Test AI features for accuracy, consistency, usability, and reliability.
• Identify incorrect, incomplete, or unexpected AI outputs and document findings.
• Assist with creating evaluation examples and test cases for AI-powered workflows.
• Research AI tools, emerging technologies, and competing products to identify useful capabilities.
• Help evaluate when AI is appropriate for a problem and when a simpler solution may be more effective.
• Support product requirements, user stories, and acceptance criteria for AI initiatives.
• Collaborate with engineers to understand integrations, APIs, data requirements, and technical limitations.
• Help analyze user feedback and product metrics to assess the effectiveness of AI experiments.
• Support usability testing, quality assurance, and feature launch preparation.
• Document experiments, results, limitations, and recommendations for future improvements.
• Take ownership of smaller AI research, prototyping, or evaluation projects with guidance from the product team.
• Consider privacy, safety, and human oversight when evaluating AI features, particularly those involving healthcare workflows.