AI Product Intern
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Job Description
AI Product Intern at Bask Health, a telehealth SaaS platform for doctors and healthcare businesses. Prototyping, testing, and evaluating AI-powered product features.
Responsibilities:
- 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.
Requirements:
- Strong interest in artificial intelligence, product management, and software development.
- Hands-on experience experimenting with AI models, AI APIs, AI-powered applications, or technical AI projects through coursework, personal projects, internships, or professional work.
- Practical coding experience with Python, JavaScript, TypeScript, or another programming language.
- Foundational understanding of large language models and how AI-powered applications work.
- Ability to demonstrate an AI-related project, prototype, experiment, or technical implementation you've worked on.
- Familiarity with using AI tools to solve problems, analyze information, or build software.
- Strong analytical thinking, curiosity, and problem-solving skills.
- Ability to test technical solutions, evaluate results, and identify issues or limitations.
- Basic understanding of software development concepts, APIs, and web applications.
- Ability to research unfamiliar technologies and learn new tools independently.
- Strong attention to detail and ability to document technical findings clearly.
- Good written and verbal communication skills.
- Ability to collaborate with product managers, engineers, designers, and other cross-functional teams.
- Initiative, adaptability, and willingness to experiment, learn, and improve solutions based on feedback.
- Nice to have: Experience building applications or prototypes using OpenAI, Anthropic, Google Gemini, or other AI APIs.
- Nice to have: Familiarity with prompt engineering, structured outputs, function calling, or tool use.
- Nice to have: Experience with AI agents, retrieval-augmented generation (RAG), embeddings, or vector databases.
- Nice to have: Familiarity with AI evaluation methods, test datasets, or model performance metrics.
- Nice to have: Experience using Python libraries or JavaScript frameworks to build AI-powered applications.
- Nice to have: Familiarity with React, Next.js, or modern web development tools.
- Nice to have: Experience using Git, GitHub, or collaborative software development workflows.
- Nice to have: Experience building automations or integrating AI into existing software workflows.
- Nice to have: Familiarity with SQL, databases, or basic data analysis.
- Nice to have: Experience with user research, product discovery, or usability testing.
- Nice to have: Understanding of AI safety, data privacy, and responsible AI development.
- Nice to have: Interest in SaaS platforms, e-commerce, or consumer-facing applications.
- Nice to have: Interest in telehealth, digital health, or healthcare technology.
- Nice to have: A portfolio, GitHub repository, or project demonstrating hands-on AI development or experimentation.
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