Intern - Fullstack & AI Innovation (IIT/NIT/BITS,etc)

Location: On-site, Noise Office, Gurgoan

Duration: 6 Months Internship

Type: Full-Time

About the Role

We are looking for a Tech Intern who lives and breathes code, someone curious, creative, and comfortable learning any tech stack thrown at them. You’ll work on cutting-edge projects that span mobile (Android/iOS), web, AI/ML, and system design , contributing to both product development and experimental R&D initiatives.

This is not a “one-stack” internship, it’s for the builders who want to explore everything : from backend algorithms to frontend interfaces, from AI-driven systems to cross-platform apps.

Key Responsibilities

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Build, test, and deploy applications across Web , Android , and iOS .

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Implement and fine-tune AI/ML models for real-world use cases (LLMs, vision, signal processing, etc.).

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Contribute to full-stack development , from designing APIs to optimizing frontend performance.

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Research and experiment with emerging technologies (GenAI, automation, multimodal interfaces, etc.).

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Write clean, efficient, and scalable code across multiple frameworks and languages.

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Collaborate with core developers, designers, and AI engineers to build innovative prototypes.

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Participate in algorithm design , data engineering , and deployment automation tasks.

Preferred Skills & Tech Exposure

You don’t need to know everything, but you should be excited to learn anything.

Languages & Frameworks

Python, JavaScript/TypeScript, Kotlin, Swift, Dart, Java, C++

React / Next.js / Node.js / Flutter

TensorFlow / PyTorch / OpenCV / LangChain

AI & Cloud Tools

OpenAI, Hugging Face, Vertex AI, Firebase, AWS, Azure, etc.

Prompt engineering, RAG, API integrations, and fine-tuning models

Development & DevOps

Git, Docker, REST APIs, GraphQL

CI/CD, containerization, and microservices familiarity

What We’re Looking For

Strong problem-solving and algorithmic thinking skills

Curiosity about how AI integrates into real-world apps

Ability to pick up new frameworks and tools quickly

Hands-on project experience (personal, academic, or open source)

Passion for innovation and technology trends

Nice to Have

Prior experience with wearable tech, sensors, or edge AI

Contributions to open-source or AI-driven projects

Experience in full product lifecycle (prototype → deploy → scale)

What You’ll Get

Real-world exposure across AI, full-stack, mobile and wearable ecosystems

Opportunity to work directly with senior tech leads and leadership team

Mentorship on research and development , product design , and AI research

Who Should Apply

This internship is perfect for

Final-year students or fresh graduates passionate about end-to-end tech

Self-taught coders who love to experiment with new tools and frameworks

Builders who want to explore the intersection of AI + software + hardware