[DT] : Full Stack AI Engineer

Gohyred; Uttar Pradesh; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Gohyred is seeking a Full-Stack Developer to lead MERN-based applications, from design to deployment, and to architect scalable AI-enabled solutions in the Azure ecosystem. You will build robust APIs, optimize MongoDB schemas, and create responsive React frontends, while collaborating across teams to deliver high-quality software.

The role emphasizes end-to-end ownership, performance optimization, and staying abreast of MERN advancements and AI-driven trends in a dynamic environment.

Qualifications

• Experience designing MERN stack applications.
• Ownership of features from concept to production.
• Proficiency in API development and integration.
• Knowledge of AI/ML integration and vector search.

Responsibilities

• Lead design, development, testing, and deployment of MERN-based apps.
• Write clean, maintainable code following standards.
• Take ownership of features end-to-end.
• Collaborate on scalable and secure architectures.
• Integrate AI/ML features and Azure-based services.
• Design MongoDB schemas and optimize queries.
• Build responsive React frontends and ensure performance.
• Develop and maintain RESTful APIs and integrate external endpoints.
• Implement model inference workflows and vector search pipelines.
• Diagnose and debug across applications.
• Continuously learn and share knowledge.

Skills

MERN stack

Frontend development

API integration

Azure cloud

AI/ML integration

MongoDB design

Tools

MongoDB

Express.js

React

Node.js

Azure

Job description

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.