Intern - Fullstack & AI Innovation

Gonoise

Gurugram District

On-site

INR 167,400 - 279,000

Full time

14 days+
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Job summary

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.

Qualifications

  • Student or fresh graduate seeking a 6-month on-site internship.
  • Interest in AI, mobile and web development across stacks.
  • Willingness to learn multiple frameworks and tools.

Responsibilities

  • Build, test, and deploy Web, Android, and iOS apps.
  • Experiment with AI/ML models for real-world use cases.
  • Contribute to full-stack API design and frontend optimization.
  • Research emerging tech (GenAI, multimodal interfaces).
  • Write clean, scalable code across languages and frameworks.
  • Collaborate with engineers, designers and AI specialists.
  • Assist in algorithm design, data engineering and deployment automation.

Skills

Python
JavaScript/TypeScript
Kotlin
Swift
Flutter
AI/ML
REST APIs
Git & DevOps
DS/Algorithms

Tools

Docker
GraphQL
Firebase

Job description

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 withsenior 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

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