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Gonoise is seeking a Tech Intern to explore AI, mobile, web, and system design across stacks. You’ll work on cutting-edge projects in a fast-paced office in Gurugram.
This 6-month internship offers hands-on experience across backend algorithms, frontend interfaces, and AI-driven systems, with mentorship from senior engineers.
Location: On-site, Noise Office, Gurgoan
Duration: 6 Months Internship
Type: Full-Time
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.
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
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
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)
Real-world exposure across AI, full-stack, mobile and wearable ecosystems
Opportunity to work directly withsenior tech leads and leadership team
Mentorship on research and development, product design, and AI research
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