IT / AI Development Intern – Remote

Remote
Internship
Student (College)

Location: Remote
Commitment: 20 hours/week (flexible schedule to accommodate academic commitments)
Duration: 16 Weeks
Compensation: Unpaid, educational internship

Program Overview

About the Internship

This internship is designed as a supervised educational experience that provides hands-on exposure to modern software engineering, AI integration, and e-commerce technologies in a real-world business environment.

Interns will work alongside developers and technical mentors on projects related to AI-powered customer engagement tools, Shopify Plus applications, internal automation systems, analytics dashboards, conversational AI support tools, and mobile/web applications.

We do not expect applicants to know every technology listed below. Training, mentorship, onboarding guidance, templates, and development support will be provided throughout the program. We value curiosity, problem-solving ability, and willingness to learn.

Successful interns may be considered for future paid internship or junior-level opportunities based on performance, business needs, and position availability.

Key Responsibilities

  • Assist in developing and enhancing e-commerce platforms using Shopify Liquid, Petite Vue, TailwindCSS, and Vite.
  • Support integration of AI-powered features using APIs and prompt engineering.
  • Contribute to REST API development and third-party API integrations.
  • Help with database tasks including CRUD operations, indexing, and authentication in PostgreSQL/Supabase.
  • Participate in creating data dashboards and analytics tools.
  • Test and debug features using automated testing tools.
  • Follow secure coding practices and version control workflows.

Nice to Have / Preferred Skills (training and mentorship provided)

Web & App Development

  • JavaScript (ES6+) and a modern UI framework (Vue 3/Nuxt 3 or React/Next.js)

  • Node.js with Fastify or Express

  • Shopify Liquid theme development

  • React Native (Expo) for mobile development

Data & APIs

  • REST API design and integration

  • PostgreSQL/Supabase (CRUD, indexing, auth)

  • JSON/CSV data parsing

  • GA4 or Shopify data exports

AI & Advanced Features

  • Prompt engineering and AI API integration

  • PDF parsing/generation

  • Retrieval-Augmented Generation (RAG) concepts

  • Embedding strategies and vector databases (pgvector)

Tools & Infrastructure

  • Redis (caching, sessions)

  • Vercel Edge Functions / Supabase Edge Functions

  • Docker for local development

  • CI/CD workflows with automated testing

  • Playwright, Vitest, or Jest for testing

Specialized / Project-Specific

  • Map rendering (Leaflet, Mapbox)

  • Cron jobs and data diffing

  • Environment secrets management and input sanitization

  • Feature flagging tools

Benefits for Interns

  • Real-world project experience through guided, hands-on development work.

  • Portfolio development by contributing to projects that can be showcased in professional presentations.

  • Recommendation letter upon successful completion of the internship program.

  • Career networking opportunities through collaboration with industry professionals.

  • Eligibility for an advanced paid internship after program completion, based on performance and business needs.

  • Claud.ai code learning and exposure

Learning & Mentorship

  • Completion of Harvard CS50’s Introduction to Artificial Intelligence with Python valued at $299 (company-sponsored, certificate included).

  • Weekly mentorship sessions with senior developers.

  • Guided onboarding with pre-built scaffolds, templates, and code examples.

  • Exposure to professional GitHub workflows, agile development, and real production systems.

Application Process

  • Submit Resume + Cover Letter specifying your area of interest.

  • Complete the Culture Index Survey [link here].

  • Complete a Skills Assessment.

  • Attend interviews with HR.

Program Deliverables

  • At least one major project contribution in your assigned department.

  • Internship Completion Report summarizing your learning and contributions.

 


 
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