Fullstack & AI Innovation Intern – Noise, Gurugram

IT Software-Engineer
Gurugram, Haryana
August 6, 2026
Internship
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Job Description

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 to deploy to 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

  • 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

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