Intern - Fullstack & AI Innovation (IIT/NIT/BITS&etc)
Job Description
Location: On-site, Noise Office, Gurgoan
\nDuration: 6 Months Internship
\nType: Full-Time
\nAbout the Role
\nWe 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.
\nThis 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.
\nKey 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.
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Preferred Skills & Tech Exposure
\nYou don’t need to know everything, but you should be excited to learn anything.
\nLanguages & Frameworks:
\nPython, JavaScript/TypeScript, Kotlin, Swift, Dart, Java, C++
\nReact / Next.js / Node.js / Flutter
\nTensorFlow / PyTorch / OpenCV / LangChain
\nAI & Cloud Tools:
\nOpenAI, Hugging Face, Vertex AI, Firebase, AWS, Azure, etc.
\nPrompt engineering, RAG, API integrations, and fine-tuning models
\nDevelopment & DevOps:
\nGit, Docker, REST APIs, GraphQL
\nCI/CD, containerization, and microservices familiarity
\nWhat We’re Looking For
\nStrong problem-solving and algorithmic thinking skills
\nCuriosity about how AI integrates into real-world apps
\nAbility to pick up new frameworks and tools quickly
\nHands-on project experience (personal, academic, or open source)
\nPassion for innovation and technology trends
\nNice to Have
\nPrior experience with wearable tech, sensors, or edge AI
\nContributions to open-source or AI-driven projects
\nExperience in full product lifecycle (prototype → deploy → scale)
\nWhat You’ll Get
\nReal-world exposure across AI, full-stack, mobile and wearable ecosystems
\nOpportunity to work directly with senior tech leads and leadership team
\nMentorship on research and development , product design , and AI research
\nWho Should Apply
\nThis internship is perfect for:
\nFinal-year students or fresh graduates passionate about end-to-end tech
\nSelf-taught coders who love to experiment with new tools and frameworks
\nBuilders who want to explore the intersection of AI + software + hardware
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