Senior Full Stack Engineer (GenAI | Node.js | React)

Role Overview

Architecture & Technical Leadership

• Design and develop scalable, high-performance enterprise applications using React, Node.js, and GenAI technologies.
• Define technical standards, architecture patterns, and development best practices.
• Lead system design discussions and contribute to long-term technology strategy.
• Drive application scalability, maintainability, security, and performance improvements.

Generative AI Development

• Design and implement AI-powered applications using LLMs such as OpenAI, Claude, Gemini, and Azure OpenAI.
• Build intelligent assistants, chatbots, content generation tools, document processing solutions, and workflow automation platforms.
• Develop Retrieval-Augmented Generation (RAG) architectures and AI orchestration frameworks.
• Implement prompt engineering, vector search, and AI optimization strategies.
• Monitor AI performance, cost, governance, security, and scalability.

Frontend Development

• Build responsive and reusable UI components using React 18+, Hooks, Context API, and modern frontend frameworks.
• Implement state management using Redux, Zustand, or equivalent technologies.
• Ensure exceptional user experience and cross-browser compatibility.
• Optimize frontend performance and application responsiveness.

Backend Development

• Design and develop secure RESTful and GraphQL APIs using Node.js, Express.js, or Fastify.
• Build scalable microservices-based architectures.
• Integrate AI services, enterprise systems, and third-party APIs.
• Ensure application security, performance, and reliability.

Data & AI Platform Engineering

• Design and manage relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis.
• Implement vector databases such as Pinecone, Weaviate, ChromaDB, or Azure AI Search.
• Support enterprise AI search, retrieval, and knowledge management capabilities.

DevOps & Cloud

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or similar tools.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Support cloud-native deployments on AWS, Azure, and GCP.
• Implement monitoring, automation, and operational best practices.

Mentorship & Collaboration

• Lead technical reviews and mentor junior engineers.
• Collaborate with Product, UX, QA, DevOps, and business teams.
• Participate actively in Agile ceremonies and sprint planning activities.

Core Technologies

• Node.js
• React.js

• REST APIs & GraphQL

• Microservices Architecture

Generative AI

• OpenAI
• Azure OpenAI
• Claude
• Gemini
• LangChain
• LlamaIndex
• RAG Architectures
• Prompt Engineering

Databases

• PostgreSQL
• MySQL
• MongoDB
• Redis
• Pinecone
• Weaviate
• ChromaDB

DevOps & Cloud

• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• AWS
• Azure
• GCP

Testing & Quality

• Jest

• React Testing Library

• Unit Testing
• Integration Testing
• End-to-End Testing
• **Apply Now:** **[email protected]**