[DT] : Full Stack AI Engineer

Keka Inc.; Dadri; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Keka Inc. is looking for a skilled full-stack developer in India to lead end-to-end MERN-based applications, taking concepts through production with a focus on scalable, secure software.

You will design architectures in collaboration with cross-functional teams and own features from idea to deployment. The role involves implementing AI/ML features, integrating Azure AI services, optimizing performance, and ensuring robust data handling and smooth user experiences.

Qualifications

• Experience with MERN stack and full-stack development.
• Ability to design scalable, secure architectures.
• Familiarity with AI/ML features and cloud deployments.

Responsibilities

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

Job description

• 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.
• 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.
• 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.