[DT] : Full Stack AI Engineer

Roles & Responsibilities 1. Full-Stack Development  Lead the design, development, testing, and deployment of full-stack applications using the MERN stack (MongoDB, Express.js, React, Node.js).  Write clean, maintainable, and efficient code following established coding standards and best practices.  Take ownership of features from concept to production. 2. Application Architecture & System Design  Collaborate with cross-functional teams to design scalable, secure, and efficient application architectures. Make strategic technical decisions to support long-term scalability, model performance, and system reliability.  Design and integrate AI/ML-powered features such as LLM workflows, embeddings, semantic search, recommendation systems, or intelligent automation into production applications.  Work with Azure-based AI and cloud services to deploy, orchestrate, monitor, and optimize AI-enabled solutions. 3. Database Management & Optimization  Design and manage MongoDB schemas to support application requirements.  Write complex queries and optimize database performance.  Monitor, troubleshoot, and resolve database-related issues to ensure efficient data handling. 4. Frontend Development  Build responsive, intuitive, and user-friendly interfaces using React.  Implement frontend best practices for performance optimization and cross-device compatibility.  Collaborate with design and product teams to deliver seamless user experiences. 5. API Development & Integration  Develop, document, and maintain RESTful APIs for smooth communication between frontend, backend, and AI-enabled systems.  Integrate third-party services, external APIs, and AI model endpoints to extend application functionality.  Build and maintain backend workflows for model inference, prompt orchestration, vector search, and intelligent data pipelines. 6. Problem Solving & Debugging  Diagnose and resolve technical issues across new and existing applications.  Apply debugging, profiling, and performance-tuning techniques to improve system efficiency. 7. Continuous Learning & Improvement  Stay updated with industry trends, MERN stack advancements, and emerging technologies, including AI-driven solutions.  Participate in internal knowledge-sharing sessions and contribute to a culture of continuous improvement and innovation.