Full-Stack Engineer Intern

We are looking for a motivated Full-Stack Engineer Intern to support the development of AI-powered applications that connect cloud platforms with edge devices. You will work alongside experienced engineers to build user-facing applications, backend services, and internal tools that support AI model deployment and device integration.

This internship is ideal for students or early-career engineers interested in gaining hands-on experience across web development, cloud infrastructure, and AI/embedded systems.

• Assist in building web applications and dashboards using modern frontend frameworks (React, Vue, or similar)
• Support backend development (Node.js, Python, or similar) for APIs and data services
• Help integrate AI inference modules into applications and dashboards under guidance
• Contribute to internal tools for monitoring model performance and managing datasets
• Work with cloud services and APIs to connect devices, applications, and data pipelines
• Participate in testing, debugging, and improving system performance across web and edge environments
  

• Experience in programming (JavaScript/TypeScript preferred; Python or others are a plus)
• Familiarity with web development concepts (frontend frameworks or backend APIs)
• Understanding of databases (SQL or NoSQL fundamentals)
• Experience with Git for version control (e.g., GitHub projects or coursework)
• Comfortable working in a Linux environment or willing to learn
• Strong curiosity about AI, cloud systems, or embedded/IoT technologies
  

• Personal or academic projects involving web apps, APIs, or IoT devices
• Exposure to machine learning concepts or AI tools
• Experience with Raspberry Pi, Jetson, or similar hardware
• Familiarity with Docker or basic cloud services
• Understanding of networking or communication protocols (e.g., HTTP, MQTT)
  

• Hands-on experience working on real-world AI and edge computing systems
• Exposure to cloud infrastructure, APIs, and deployment workflows
• Mentorship from experienced engineers in AI and full-stack development
• Opportunity to contribute to production-level systems and tools

If you’re excited to learn and build at the intersection of AI, cloud, and embedded systems, send your CV to [email protected]