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Full Stack Mobile Engineer
1 month ago
Position Overview
We are looking for a Full Stack Mobile Engineer (Intern) who is excited to build meaningful, AI-powered experiences for children. In this role, you'll work closely with our founding team to scale Kahani Kids, a mobile-first learning platform reimagining how kids read, play, and learn. If you've built mobile apps before and love working across the stack, this internship offers hands-on experience, mentorship, and the potential to grow into a full-time role.
Responsibilities
- Build and improve features for our React Native mobile app.
- Write scalable backend services using Node JS , Laravel (PHP) and Python.
- Develop and maintain APIs, ensuring smooth integration with frontend features.
- Optimize performance and responsiveness across devices and screen sizes.
- Collaborate on cloud infrastructure using AWS (S3, RDS, Elastic Beanstalk) and Firebase.
- Support AI integrations.
- Participate in code reviews, documentation, and debugging.
- Work closely with the founding team to shape the product and user experience.
Requirements
- Prior experience working on at least one mobile application end-to-end.
- Familiarity with Firebase tools (Remote Config, Notifications, Analytics).
- Strong attention to detail and eagerness to learn in a fast-moving startup.
- Experience or curiosity about AI tools is a bonus.
- Excellent problem-solving skills and collaborative mindset.
Availability
- Able to start immediately
- Internship duration: 3 months
- Commitment: Full-time (preferred) or Part-time (4–5 days/week)
- Remote-first position
High-performing interns will be considered for a full-time role.
Work Culture
- Equal Opportunity : We welcome all backgrounds as believe that diverse voices build better products.
- Hands-On Learning : Direct mentorship from founders, rapid iterations.
- Flexible Working : Remote work supported.
- Vision-Driven : Join a mission-led team creating a safer, smarter screen time for kids.
Our Story
We are on a mission to reinvent early education by moving beyond the traditional "one size fits all" approach, leveraging both AI