Full Stack Developer – Generative AI | Senior Manager

Winzons; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

EXL is seeking a GenAI Full Stack Developer in Noida, India, to lead the integration of GenAI capabilities into enterprise applications. You will design scalable microservices, connect LLM backends with modern frontends, and manage secure API gateways and cloud deployments.

Required skills include Python (FastAPI/Django), React/TypeScript, Docker, Kubernetes, and AWS/Azure AI services, with 4–7 years of relevant experience and a CS degree.

Qualifications

• 4 to 7 years of full-stack development experience with AI/ML integration.
• Experience building scalable microservices and APIs.
• Hands-on with frontend React/Next.js and Python backend.

Responsibilities

• Architect and lead the development of the application layer for enterprise GenAI solutions.
• Connect LLM backends to scalable frontends while managing API gateways and cloud deployments.
• Oversee CI/CD pipelines for AI software components.
• Ensure seamless, low-latency integration between React/Next.js frontends and Python/FastAPI backends.

Skills

Python

FastAPI

Django

JavaScript

TypeScript

React

Node.js

Docker

Kubernetes

AWS

Azure AI

Education

Bachelor's or Master's in CS

Tools

Docker

Kubernetes

AWS

Job description

Company Name: EXL

Job Role: Generative AI Full Stack Developer

Designation: GenAI Full Stack Developer

Experience Required: 4 to 7 Years

Location: Noida, India

Qualification: Bachelor's or Master's Degree in Computer Science or a related field

Industry: Information Technology / Artificial Intelligence / Analytics

Description

GenAI Full Stack Developer This track is responsible for integrating GenAI capabilities into user-facing applications, building robust backend APIs, and ensuring seamless user experiences with AI.

Role Overview

• Architect and lead the development of the application layer for enterprise GenAI solutions.
• Connect LLM backends to scalable frontends while managing API gateways and cloud deployments.

Key Responsibilities

• Application Architecture : Design scalable microservices that handle LLM requests, streaming responses (Server-Sent Events), and context management.
• Cloud & DevOps : Oversee the deployment of AI applications on AWS, Azure, or GCP.
• Integrate CI/CD pipelines for AI software components.
• Frontend & Backend Integration : Ensure seamless, low-latency integration between modern frontends (React/Next.js) and Python/FastAPI backends running AI models.

Required Skills & Qualifications

• Tech Stack : Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, AWS/Azure AI services.
• Qualifications : Bachelors/Masters in CS; 4 to 7 years in full-stack development with a strong recent focus on integrating AI/ML models into web apps