Full Stack AI Internship
Location:
Experience:
Fresher (Internship experience preferred)
Job Type:
Internship
Duration:
3 months
Department:
Engineering
Work Mode:
On-site
About
Magure is a product-focused technology company building in-house platforms and intelligent solutions that solve real business problems. Our teams create scalable, AIenabled products designed for production environments.
We are looking for a capable and highly motivated Full Stack AI Intern to join our engineering team in Raipur for a three-month internship. You will contribute to modern web applications built with the MERN stack and support the integration of AI-powered capabilities. Working with experienced engineers, you will take ownership of assigned modules, collaborate with product, design, and AI stakeholders, participate in code reviews, and gain practical exposure to the full software-development lifecycle.
Roles & Responsibilities
Assist in developing, testing, and maintaining full-stack web application features using MongoDB, Express.js, React, and Node.js.
Write clean, readable, and documented code while following team coding standards and version-control practices.
Support the creation of responsive, user-friendly interfaces and help improve frontend performance across devices.
Assist in building and documenting RESTful APIs that connect frontend, backend, database, and AI services.
Contribute to AI-enabled features such as LLM workflows, prompt orchestration, embeddings, semantic search, recommendations, or intelligent automation under guidance.
Help integrate third-party services, external APIs, and AI model endpoints into application workflows.
Work with MongoDB schemas and queries, and assist with basic database troubleshooting and performance improvements.
Participate in debugging, testing, code reviews, technical discussions, and sprint activities.
Collaborate with engineering, product, design, AI, and business teams to understand requirements and deliver assigned tasks.
Document completed work, share progress regularly, and contribute to internal knowledge-sharing sessions.
Learn and apply secure development, performance, reliability, and responsible AI practices.
Qualifications
Currently pursuing or recently completed a bachelor's or master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
Strong proficiency in JavaScript, HTML, CSS, and modern web-development concepts.
Hands-on experience building at least one substantial web application using React and Node.js, with working knowledge of databases and backend frameworks such as MongoDB and Express.js.
Demonstrated ability to develop and integrate RESTful APIs and understand frontend, backend, and database interactions.
Hands-on understanding of AI/ML concepts, including experience integrating AI APIs or models into applications.
Experience with at least one relevant AI area such as LLMs, embeddings, vector databases, semantic search, or inference workflows.
Ability to write clean, maintainable code, independently troubleshoot issues, and use debugging tools effectively.
Working knowledge of Git and collaborative version-control workflows.
Strong problem-solving, analytical, communication, and collaboration skills.
At least one demonstrable full-stack or AI-enabled project through a GitHub profile, portfolio, academic project, hackathon, or similar work.
Availability to work on-site in Raipur for the full three-month internship.
What You Will Learn
How product-grade features move from requirements and design to testing and deployment.
Practical full-stack development with the MERN stack in a collaborative engineering environment.
How AI models and services can be integrated into web applications responsibly and reliably.
Professional practices including source control, code review, documentation, debugging, and team communication.
Why Join Magure?
Hands-on exposure to real-world products built with modern web and AI technologies.
Guidance and feedback from experienced engineering and product professionals.
A collaborative environment focused on practical learning, ownership, and innovation.
Opportunity to build portfolio-ready work and strengthen full-stack and AI engineering skills.
Internship certificate upon successful completion, subject to company policy and performance.
Apply Now
