AI Engineering Intern

Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses.

Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place.

We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform.

Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality.

We're looking for an AI Engineering Intern to join Bask Health's engineering team and gain hands-on experience developing AI-powered software features and tools.

Bask Health provides the technology behind direct-to-consumer telehealth businesses, connecting merchant storefronts, patient experiences, clinical workflows, pharmacy operations, and commerce capabilities. As we continue expanding our AI-powered functionality, we're looking for curious, motivated individuals who want to learn how modern AI technologies are integrated into real software products.

You'll work alongside experienced software engineers, applied AI engineers, and product teams to contribute to AI-related development projects across the platform.

This internship is designed to provide practical engineering experience rather than purely academic research. You'll have opportunities to write code, work with APIs, test AI applications, and learn how software features move from development into production.

Your work may include experimenting with large language models, integrating AI APIs, developing small application features, testing model responses, improving prompts, and building internal engineering tools.

You'll receive guidance from experienced engineers while being encouraged to take initiative, ask questions, and contribute ideas. As you become more comfortable with our systems, you'll have opportunities to take ownership of appropriately scoped technical tasks.

You'll also learn about the engineering practices required to build reliable AI applications, including testing, debugging, version control, code reviews, monitoring, and responsible handling of application data.

Because Bask operates in healthcare-related environments, you'll learn how privacy, permissions, and human oversight influence the design and deployment of AI-powered features. Your work will remain within approved product and technical boundaries, with appropriate engineering supervision.

We welcome candidates who have developed their skills through university coursework, independent projects, hackathons, internships, open-source contributions, or self-directed learning. Previous professional AI engineering experience is not required.

We're looking for someone who enjoys building software, is genuinely interested in applied AI, and wants to learn how modern engineering teams create useful AI-powered products.

• Assist with developing AI-powered software features across Bask Health's platform.
• Work with experienced engineers to understand AI application architecture and development workflows.
• Experiment with large language models and approved AI APIs.
• Help integrate AI model capabilities into backend services and applications.
• Write application code using Python, TypeScript, JavaScript, or comparable languages.
• Assist with building small AI-powered tools and internal utilities.
• Develop and test prompts for supported AI features.
• Help implement structured model outputs and basic response validation.
• Assist with creating AI-powered summarization, search, or information retrieval features.
• Contribute to internal prototypes that explore new AI product capabilities.
• Help develop backend API integrations for AI-powered functionality.
• Assist with connecting AI features to existing platform services.
• Write basic automated tests for AI integrations and application code.
• Help evaluate AI-generated responses for accuracy, relevance, and consistency.
• Document unexpected model behavior and assist with reproducing technical issues.
• Participate in testing AI features against realistic application scenarios.
• Help improve error handling and fallback behavior in AI-powered applications.
• Assist with reviewing logs and debugging application issues.
• Learn how AI-powered features are deployed and monitored in production.
• Contribute to technical documentation and implementation notes.
• Participate in code reviews and incorporate feedback from experienced engineers.
• Collaborate with other interns, engineers, and product team members on assigned projects.
• Learn and follow Bask Health's coding standards and engineering practices.
• Use AI-assisted development tools while learning to review and validate generated code.
• Explore practical applications of AI in merchant operations and patient experiences.
• Assist with improving existing AI-powered workflows based on engineering feedback.
• Participate in technical discussions, team meetings, and project planning.
• Complete assigned engineering projects with mentorship, clear documentation, and appropriate testing.

• Currently pursuing, recently completed, or independently developing skills equivalent to a degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
• Foundational programming knowledge in Python, TypeScript, JavaScript, or comparable languages.
• Understanding of basic software development concepts.
• Interest in artificial intelligence, large language models, and generative AI applications.
• Familiarity with programming fundamentals such as variables, functions, data structures, and control flow.
• Ability to write and debug basic application code.
• Basic understanding of APIs and how software systems communicate.
• Familiarity with Git or willingness to learn version control workflows.
• Understanding of basic object-oriented or functional programming concepts.
• Familiarity with JSON and structured data.
• Basic understanding of web application development.
• Willingness to learn backend development concepts.
• Familiarity with basic testing and debugging practices.
• Ability to read technical documentation and follow implementation instructions.
• Interest in building practical software applications.
• Willingness to experiment with new tools and technologies.
• Strong curiosity and motivation to learn.
• Ability to communicate questions and technical challenges clearly.
• Attention to detail and willingness to review work carefully.
• Ability to work collaboratively with engineers and other team members.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks and communicate progress.
• Strong problem-solving skills and logical thinking.
• Interest in understanding how AI systems work within production software.
• Ability to complete appropriately scoped technical assignments with guidance.

• Personal, academic, or internship projects involving AI-powered applications.
• Experience experimenting with OpenAI, Anthropic, or comparable model APIs.
• Familiarity with prompt engineering.
• Experience building a chatbot, AI assistant, or other LLM-powered project.
• Basic understanding of retrieval-augmented generation.
• Familiarity with embeddings or vector databases.
• Experience using Python for AI or machine learning projects.
• Familiarity with TypeScript or Node.js.
• Experience with React or Next.js.
• Familiarity with REST API development.
• Basic knowledge of SQL or relational databases.
• Exposure to AWS or another cloud platform.
• Experience with GitHub and collaborative development workflows.
• Familiarity with automated testing frameworks.
• Participation in hackathons, coding competitions, or open-source projects.
• A GitHub portfolio demonstrating software development or AI projects.
• Experience using LangChain, LlamaIndex, or comparable AI application libraries.
• Interest in healthcare technology, telehealth, or e-commerce platforms.
• Basic awareness of data privacy and responsible AI development.
• Experience using AI-assisted development tools such as Cursor or Claude Code.