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Posted 09 July, 2026

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

Noise
Gurugram, HR, IN Full Time
Reference: 0c60619c8e9e1ff2

Job Description

Location: On-site, Noise Office, Gurgoan

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Duration: 6 Months Internship

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Type: Full-Time

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About the Role

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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.

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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.

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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.

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Preferred Skills & Tech Exposure

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

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Languages & Frameworks:

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

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React / Next.js / Node.js / Flutter

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TensorFlow / PyTorch / OpenCV / LangChain

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AI & Cloud Tools:

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

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

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Development & DevOps:

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Git, Docker, REST APIs, GraphQL

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CI/CD, containerization, and microservices familiarity

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What We’re Looking For

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Strong problem-solving and algorithmic thinking skills

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Curiosity about how AI integrates into real-world apps

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Ability to pick up new frameworks and tools quickly

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

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Passion for innovation and technology trends

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Nice to Have

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Prior experience with wearable tech, sensors, or edge AI

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Contributions to open-source or AI-driven projects

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

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What You’ll Get

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

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Opportunity to work directly with senior tech leads and leadership team

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

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Who Should Apply

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This internship is perfect for:

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

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

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

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