Fullstack Architect

Role & responsibilities

Job Description: Senior Full Stack Engineer (Python + React + Azure + GenAI)

Role: Senior Full Stack Engineer / Lead Engineer
Experience: 8-12 Years
Location: Bengaluru / Pune / Gurgaon (Hybrid)

Role Summary

We are seeking a highly skilled Senior Full Stack Engineer with expertise in Python, React, Microsoft Azure, and Generative AI to build next-generation intelligent applications. The ideal candidate will have strong experience in developing scalable cloud-native solutions, designing robust backend services, building modern user interfaces, and integrating GenAI capabilities using Azure OpenAI and LLM frameworks.

This role requires end-to-end ownership of application development, cloud architecture, AI-powered solution design, and collaboration with cross-functional teams to deliver innovative enterprise products.

Key Responsibilities

• Design, develop, and maintain enterprise-grade applications using Python, React, and Azure Cloud.
• Build scalable REST APIs and microservices using FastAPI, Flask, or Django.
• Develop responsive and user-friendly front-end applications using React.js, TypeScript, HTML5, and CSS3.
• Architect and deploy cloud-native applications on Microsoft Azure.
• Design, build, and integrate Generative AI solutions leveraging LLMs and Azure OpenAI.
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
• Develop AI-powered chatbots, copilots, intelligent search, and workflow automation solutions.
• Integrate vector databases and semantic search capabilities for AI applications.
• Build and manage CI/CD pipelines using Azure DevOps.
• Collaborate with product teams, architects, and stakeholders to define and deliver technical solutions.
• Ensure security, scalability, performance optimization, and application reliability.
• Mentor engineers and contribute to technical best practices and architecture decisions.

Preferred Qualifications

• Experience with Agentic AI, autonomous workflows, and multi-agent systems.
• Exposure to MCP (Model Context Protocol) and AI orchestration frameworks.
• Experience implementing enterprise copilots using Microsoft ecosystem technologies.
• Knowledge of Azure Machine Learning and MLOps.
• Infrastructure as Code using Terraform or Bicep.
• Experience working in Agile/Scrum teams.