Applied AI Engineer Intern: Build Real-World AI Features

Bask Health; New York (NY); On-site; USD 28,000 - 50,000; Part time

Job summary

Bask Health is seeking an AI Engineering Intern to join its engineering team in the New York area. You will gain hands-on experience building AI-powered software features and tools, collaborating with experienced engineers and product teams to move ideas into production.

This internship emphasizes practical engineering work over theoretical research, including API integration, coding, testing, and improving AI prompts within real healthcare software. Prior AI interest is valued.

Qualifications

• Pursuing or completed degree in CS/SE/AI/ML or related field
• Foundational programming knowledge in Python/TypeScript/JavaScript
• Interest in AI, LLMs, and generative AI applications
• Familiarity with programming fundamentals and APIs
• Willingness to learn backend development concepts
• Ability to read technical documentation and follow instructions

Responsibilities

• Assist with developing AI-powered features across Bask Health’s platform
• Work with experienced engineers to understand AI application architecture and workflows
• Experiment with language models and approved AI APIs
• Write application code using Python, TypeScript, or JavaScript
• 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 validation

Skills

Python

TypeScript

JavaScript

Curiosity to learn

Team collaboration

Problem-solving

Education

CS/SE/AI/ML degree or in progress

Tools

Cursor

Claude Code

Git

Job description

Bask Health is seeking an AI Engineering Intern to join its engineering team in the New York area. You will gain hands-on experience building AI-powered software features and tools, collaborating with experienced engineers and product teams to move ideas into production.

This internship emphasizes practical engineering work over theoretical research, including API integration, coding, testing, and improving AI prompts within real healthcare software. Prior AI interest is valued.