Tech Intern - Fullstack & AI Innovation
📅 Posted 2h ago
📄 Job Description
About the Role
We are seeking a Tech Intern who is passionate about code, curious, creative, and adaptable to various tech stacks. This role involves working on cutting-edge projects across mobile (Android/iOS), web, AI/ML, and system design. You will contribute to both product development and experimental R&D initiatives.
This internship is designed for builders eager to explore a wide range of technologies, from backend algorithms and frontend interfaces to AI-driven systems and cross-platform applications.
Responsibilities
- Build, test, and deploy applications across Web, Android, and iOS.
- Implement and fine-tune AI/ML models for real-world use cases (e.g., LLMs, vision, signal processing).
- Contribute to full-stack development, from designing APIs to optimizing frontend performance.
- Research and experiment with emerging technologies (e.g., 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.
Requirements
- Preferred Skills & Tech Exposure:
- Languages & Frameworks: Python, JavaScript/TypeScript, Kotlin, Swift, Dart, Java, C++
- Web Frameworks: React / Next.js / Node.js / Flutter
- AI/ML Frameworks: TensorFlow / PyTorch / OpenCV / LangChain
- AI & Cloud Tools: OpenAI, Hugging Face, Vertex AI, Firebase, AWS, Azure (including Prompt engineering, RAG, API integrations, and fine-tuning models)
- Development & DevOps: Git, Docker, REST APIs, GraphQL, CI/CD, containerization, and microservices familiarity
- Qualifications:
- Strong problem-solving and algorithmic thinking skills
- Curiosity about how AI integrates into real-world applications
- Ability to quickly pick up new frameworks and tools
- 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)
- Who Should Apply:
- Final-year students or fresh graduates passionate about end-to-end technology
- Self-taught coders who enjoy experimenting with new tools and frameworks
- Builders who want to explore the intersection of AI + software + hardware
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
