Fullstack Engineering Intern

Company: Asvix Innovations LLP Project: DigiLab Duration: 3 Months Mode: Remote Compensation: Unpaid Internship About the Role Asvix Innovations LLP is looking for a motivated Full Stack Engineering Intern to contribute to the development of DigiLab, a digital and AI-enabled platform currently under development. This role is ideal for someone who is comfortable working across the stack and has a strong interest in building modern, intelligent applications. You will work on developing user-facing interfaces, integrating backend services, connecting AI-powered capabilities, and helping transform product ideas into functional features. We are looking for someone who understands that modern full-stack development is no longer just about connecting a frontend to a database. DigiLab involves building interfaces and workflows that can interact with AI models, APIs, retrieval systems, and intelligent features. What You'll Work On Develop and improve frontend interfaces for DigiLab. Build responsive, intuitive, and user-friendly web experiences. Work with frontend frameworks such as React, Next.js, or similar technologies. Develop and integrate backend APIs and services. Connect frontend applications with databases and backend infrastructure. Integrate AI models, LLM APIs, and other AI-powered services into the platform. Assist in building AI-enabled workflows and features. Work with APIs, structured and unstructured data, and third-party integrations. Collaborate with the team to design, test, debug, and improve product features. Write clean, maintainable, and scalable code. Participate in technical discussions and contribute ideas for improving DigiLab. Must-Have Requirements 1. Strong Frontend Knowledge Frontend development is a mandatory requirement for this role. You should have practical experience with: HTML, CSS, and JavaScript/TypeScript React, Next.js, or a similar modern frontend framework Responsive UI development API integration State management and component-based architecture Debugging and improving frontend performance 2. Understanding of AI A working knowledge of AI is also a mandatory requirement. You should be familiar with concepts such as: Large Language Models (LLMs) AI APIs and model integration Prompt engineering Retrieval-Augmented Generation (RAG) Vector databases and embeddings, at least at a conceptual or practical level AI agents or agentic workflows, preferably Integrating AI capabilities into web applications You do not need to be an AI researcher, but you should understand how modern AI systems can be integrated into real-world products. 3. Full Stack Development Experience with some of the following will be beneficial: Node.js, Python, or similar backend technologies REST APIs or GraphQL SQL or NoSQL databases Authentication and authorization Cloud deployment or hosting platforms Git and collaborative development workflows What We're Looking For We are looking for someone who: Can independently explore and learn unfamiliar technologies. Has built projects beyond basic tutorials. Enjoys solving technical problems. Is comfortable working in a fast-moving development environment. Can take ownership of assigned features and tasks. Has an interest in the intersection of AI and product development. Communicates clearly and collaborates effectively in a remote team. Bonus Points It would be great if you have experience with: Building AI-powered applications OpenAI-compatible APIs or other LLM providers RAG pipelines Vector databases Docker Cloud platforms WebSockets or real-time applications Data visualization Healthcare, research, or scientific applications What You'll Gain During this internship, you will have the opportunity to: Work on a real-world product under active development. Gain hands-on experience building an AI-enabled application. Work across both frontend and backend systems. Learn how AI features are integrated into production-oriented products. Build practical experience with modern development workflows. Contribute directly to the development of DigiLab and take ownership of meaningful features. Important Details Duration: 3 months Mode: Fully remote Compensation: This is an unpaid internship Commitment: Candidates should be able to consistently contribute throughout the internship period. Certificate: An internship certificate will be provided upon successful completion of the internship, subject to satisfactory performance and completion of assigned responsibilities.