Full Stack AI Engineer

Roles & Responsibilities

• 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.

• 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.

• 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.

• 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.

• 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.

• Problem Solving & Debugging

  • Diagnose and resolve technical issues across new and existing applications.
  • Apply debugging, profiling, and performance-tuning techniques to improve system efficiency.

• 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.