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 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