AI Engineer Intern (Full-Stack + Agentic AI)

## About the Role 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. ## 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 - 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.