Full Stack Developer

JobDiva, Inc.; NTR; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JobDiva, Inc. in India is seeking an experienced Full Stack Developer with MERN expertise to design, develop, and deploy AI-enabled applications.

You will work across frontend, backend, databases, APIs, cloud infrastructure, and AI integrations to deliver secure, scalable, production-ready software for enterprise needs.

Qualifications

• Around 5+ years of professional Full Stack development experience.
• Strong hands-on MERN stack expertise.
• Proficient in JavaScript/TypeScript and modern frontend frameworks.

Responsibilities

• Design, develop, test, deploy, and maintain scalable web applications using the MERN stack.
• Develop responsive frontend components with React.js.
• Build backend services, APIs, and application logic with Node.js/Express.js/Nest.js.
• Design and develop RESTful and GraphQL APIs and integrate services.
• Integrate AI features using Generative AI/LLM APIs.
• Develop AI-powered features like intelligent search, document processing, and automation.
• Implement RAG solutions with embeddings and semantic search.
• Ensure security, CI/CD, Docker, and cloud deployments.
• Collaborate across Product, QA, DevOps, and AI teams.
• Evaluate emerging AI tech for integration.

Skills

MERN stack

JavaScript/TypeScript

React.js

Node.js/Express.js

RESTful APIs

GraphQL APIs

Microservices

CI/CD

Docker

AWS/GCP

Security

Tools

MongoDB

PostgreSQL

MySQL

Nest.js

LangChain/LlamaIndex

Kubernetes

serverless

Job description

Overview:

• We are seeking an experienced Full Stack Developer with strong expertise in the MERN stack (MongoDB, Express.js, React.js, and Node.js) to design, develop, and deploy scalable, cloud-based, AI-enabled applications.
• The ideal candidate will have strong full-stack development experience along with hands-on exposure to integrating Generative AI, Large Language Models (LLMs), AI APIs, Retrieval-Augmented Generation (RAG), semantic search, and intelligent automation into modern applications.
• This role is focused on building applications powered by AI, rather than developing or training AI/ML models from scratch. The developer will work across frontend, backend, databases, APIs, cloud infrastructure, and AI integrations to deliver secure, scalable, and production-ready applications.

Responsibilities:

• Design, develop, test, deploy, and maintain scalable web applications using the MERN stack.
• Develop responsive and reusable frontend components using React.js.
• Build backend services, APIs, and application logic using Node.js, Express.js, and/or Nest.js.
• Design and develop RESTful and GraphQL APIs and integrate third-party and enterprise services.
• Integrate LLMs and Generative AI APIs into web and enterprise applications.
• Build AI-enabled features such as intelligent search, conversational interfaces, document processing, summarization, classification, information extraction, recommendations, and workflow automation.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data, documents, embeddings, semantic search, and vector databases.
• Implement prompt management, AI workflow orchestration, structured outputs, validation, and appropriate guardrails for AI-generated content.
• Design and optimize data models using MongoDB, PostgreSQL, and/or MySQL.
• Develop secure authentication, authorization, role-based access, and API security.
• Build reusable application components, services, integrations, and development frameworks.
• Optimize application performance, scalability, reliability, security, and AI service utilization.
• Implement application and AI workflow logging, monitoring, error handling, and observability.
• Develop unit, integration, API, and automated tests to ensure application quality.
• Participate in architecture discussions, technical design, code reviews, and development standards.
• Support CI/CD, Docker/containerization, and AWS/GCP cloud deployments.
• Collaborate with Product, UI/UX, QA, DevOps, and AI/ML teams throughout the development lifecycle.
• Evaluate emerging AI technologies and identify opportunities to incorporate them into applications.

Qualifications:

• Around 5 or more years of professional Full Stack/Application Development experience.
• Strong hands-on expertise with MongoDB, Express.js, React.js, and Node.js (MERN).
• Strong proficiency in JavaScript and TypeScript.
• Strong frontend development experience with React.js.
• Strong backend development experience with Node.js and Express.js.
• Experience designing and developing RESTful APIs, GraphQL APIs, and microservices.
• Strong experience with MongoDB and exposure to relational databases such as PostgreSQL and MySQL.
• Hands-on experience integrating Generative AI/LLM APIs into applications.
• Understanding of LLMs, prompt engineering, RAG, embeddings, semantic search, and vector databases/vector search.
• Experience developing AI-powered features such as conversational interfaces, intelligent search, document processing, or workflow automation.
• Experience with AWS and/or Google Cloud Platform (GCP).
• Experience with Git, CI/CD, Docker, automated testing, and modern software development practices.
• Good understanding of application security, authentication, authorization, and secure API development.
• Strong analytical, debugging, and problem-solving skills.
• Ability to independently take ownership of features from design through production deployment.
• Experience with Nest.js, GraphQL, Angular, Ruby on Rails, Python, LangChain/LlamaIndex, vector databases, Kubernetes, or serverless technologies is a plus.