[DT] : Full Stack AI Engineer

About the Role

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.