Intern - Fullstack And 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

• Build, test, and deploy applications across Web, Android, and iOS.
• Implement and fine-tune AI/ML models for real-world use cases (LLMs, vision, signal processing, etc.).
• Contribute to full-stack development, from designing APIs to optimizing frontend performance.
• Research and experiment with emerging technologies (GenAI, automation, multimodal interfaces, etc.).
• Write clean, efficient, and scalable code across multiple frameworks and languages.
• Collaborate with core developers, designers, and AI engineers to build innovative prototypes.
• 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

---