AI native (Full Stack Developer) - Intern

Role Overview

We are looking for an AI-Native Full Stack Developer Intern who is excited about building modern, AI-powered products from the ground up. You will work closely with the product and engineering teams to design, develop, test, and deploy scalable web applications while using AI tools and workflows to accelerate development.

Responsibilities

• Build and maintain responsive frontend and backend applications using modern development frameworks and technologies.
• Develop REST APIs, database integrations, authentication, and backend services.
• Work with AI-assisted development tools to improve coding, debugging, testing, and development workflows.
• Integrate AI/LLM capabilities and APIs into web applications and product features.
• Collaborate with product and engineering teams to convert ideas and requirements into working features.
• Write clean, maintainable, and well-tested code while participating in debugging and code reviews.
• Work with databases, Git/GitHub, APIs, cloud platforms, and deployment workflows.
• Rapidly prototype and iterate on new product ideas using an AI-native development approach.

Requirements

• Strong foundation in programming and software development fundamentals.
• Familiarity with JavaScript/TypeScript, Python, or similar programming languages.
• Basic understanding of frontend and backend development.
• Familiarity with React, Node.js, Next.js, or similar frameworks is a plus.
• Understanding of REST APIs, databases, Git, and software development workflows.
• Strong problem-solving and analytical skills.
• Curiosity to learn and ability to work in a fast-paced product environment.
• Hands-on projects, GitHub repositories, hackathons, or open-source contributions are highly valued.

Skills

• JavaScript
• Python
• React
• Node.js
• Next.js

What You’ll Get

• Hands-on experience building real-world AI-powered products.
• Opportunity to work closely with product and engineering teams.
• Exposure to modern full-stack development and AI-native engineering workflows.
• A learning-focused environment with significant ownership and responsibility.
• Potential opportunity for a full-time role based on performance and business requirements.