AI Engineer Intern (Full-Stack + Agentic AI)

This internship blends full-stack web development with AI engineering, giving you hands-on experience in building intelligent, LLM-integrated applications. You’ll work on both user-facing features and back-end logic while enabling AI agents to reason and act through tool-based interactions. **Key Responsibilities** * Develop and maintain scalable web applications with a focus on usability and performance. * Build responsive front-ends using React.js, and develop back-end APIs with FastAPI. * Implement and expose tools, resources, and prompts using the Model Context Protocol (MCP) to support agentic AI workflows. * Integrate RESTful APIs and WebSockets for real-time front-end and back-end communication. * Build LLM-compatible endpoints and participate in the orchestration of agentic AI use cases (e.g., dynamic tool invocation, context-aware actions). * Collaborate with cross-functional teams including designers and AI/ML developers to integrate AI-driven features. * Contribute to real-time data visualization and analytical dashboards. * Write clean, well-structured, and modular OOP-based code. * Debug and troubleshoot issues across the stack. * Optimize applications for maximum speed, scalability, and LLM performance context. **Required Skills** * **Front-End**: Proficiency in React.js, HTML, CSS, JavaScript. * **Back-End**: Strong experience with Python (FastAPI preferred), REST APIs, and WebSocket integration. * Agentic AI: Exposure to LLM agents, tool-calling, or LangChain/OpenAI/Claude-based workflows. * MCP: Understanding of the Model Context Protocol or willingness to learn and build MCP-compliant tools and resources. * Concepts: Solid grasp of Object-Oriented Programming (OOP), application routing, JSON-RPC communication, and asynchronous processing. * Databases: Familiarity with SQL (PostgreSQL or MySQL) and/or NoSQL (MongoDB). * Version Control: Experience using Git and GitHub for collaborative development. * Debugging & Testing: Working knowledge of writing testable code and debugging full-stack issues. **Preferred Skills (Good to Have)** Experience with cloud services like AWS, Azure, or Google Cloud. Exposure to AI/ML libraries (e.g., TensorFlow, PyTorch). Experience with Docker, CI/CD pipelines, or DevOps practices. Familiarity with image processing, DICOM files, or healthcare applications. **Who Should Apply?** Students or recent graduates in Computer Science, IT, or related fields. Enthusiastic learners with a passion for building real-world software applications. Candidates looking to work with modern tools and frameworks in full-stack development. **What We Offer** Mentorship from industry experts and access to real project codebases. Opportunity to work on cutting-edge AI-integrated platforms. Certificate of Internship. Potential Pre-Placement Offer (PPO) based on performance and team fit.