AI Product Intern

Bask Health

. Support the discovery, development, and testing of AI-powered features across Bask's platform.

Posted 11/11/2026internshipRemote • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong hands-on experience with AI models, APIs, and applications, alongside practical coding skills in Python, JavaScript, or TypeScript. Capable of collaborating with cross-functional teams to develop and evaluate AI-powered solutions while maintaining a focus on usability and accuracy.

Highest-signal resume keywords

AI Model ExperimentationPython ProgrammingAI API IntegrationAnalytical ThinkingUsability Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptTypeScriptAI APIsLarge Language ModelsPrompt EngineeringSoftware Development ConceptsData AnalysisAI Evaluation MethodsPrototyping

Soft Skills

Analytical ThinkingProblem-SolvingAttention to DetailCommunicationAdaptability

Tools & Technologies

OpenAIGoogle GeminiReactNext.jsGitGitHubSQLAI-Assisted Development ToolsUsability Testing ToolsCollaboration Software

Industry Keywords

Artificial IntelligenceProduct ManagementHealthcare TechnologySaaS PlatformsDigital Health

Tech Stack

Tools & technologies

JavaScriptNext.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.