[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.