Intern - Fullstack & AI Innovation

Nexxbase Marketing

Gurugram District

On-site

INR 201,000 - 357,000

Full time

14 days+

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Job summary

Nexxbase Marketing is seeking a Tech Intern who lives and breathes code, eager to learn across mobile, web, AI/ML, and system design. You’ll contribute to cutting-edge projects and experimental R&D on Android/iOS, web, and wearable tech.

You’ll work with senior engineers to grow skills in backend algorithms, frontend interfaces, AI-driven systems, and cross-platform apps, with hands-on projects and mentorship throughout a 6-month internship.

Qualifications

  • Strong problem-solving and algorithmic thinking.
  • Curiosity about how AI integrates into real-world apps.
  • Ability to pick up new frameworks quickly.
  • Hands-on project experience (personal, academic, or open source).
  • Passion for innovation and technology trends.

Responsibilities

  • Build, test, and deploy applications across Web, Android, and iOS.
  • Implement and fine-tune AI/ML models for real-world use cases.
  • Contribute to full-stack development from designing APIs to optimizing frontend performance.
  • Research and experiment with emerging technologies (GenAI, automation, multimodal interfaces).
  • 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.

Skills

Python
JavaScript/TypeScript
Kotlin
Swift
Dart
Java
C++
React
Node.js
Flutter
TensorFlow
PyTorch
OpenCV

Tools

Git
Docker
REST APIs
GraphQL

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 with senior 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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