EXL hiring For GenAI Full Stack Developer_ Bangalore & Gurgaon

EXL

Gurugram District, Bengaluru

Hybrid

INR 3,000,000 - 7,000,000

Full time

6 days ago

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Job summary

EXL is seeking a Manager/Senior Manager - GenAI Full Stack to architect and scale enterprise GenAI applications, integrating LLMs into user-facing platforms with strong frontend and backend expertise.

The role demands cloud-native design, microservices, API gateways, SSE/WebSockets, and collaboration with AI/ML teams to deploy production-ready AI solutions across AWS/Azure/GCP.

Qualifications

Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.

Responsibilities

Architect scalable microservices for AI-powered applications.

Skills

Python

FastAPI

Django

React

Next.js

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

LLM

SSE/WebSockets

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

LangChain

Job description

Manager / Senior Manager, GenAI Full Stack - Immediate/early joiners only.

Location: Gurgaon / Bangalore

Experience: Manager (4 to 7 Years) | Senior Manager (8 to 12 Years)

Employment Type: Full-Time

About the Role

We are looking for highly skilled Manager / Senior Manager - GenAI Full Stack professionals to architect, develop, and scale enterprise-grade Generative AI applications. This role is responsible for integrating GenAI capabilities into user-facing applications, building robust backend APIs, and ensuring seamless user experiences powered by Large Language Models (LLMs).

The ideal candidate will possess strong expertise in full-stack engineering, cloud-native development, AI application architecture, and modern frontend/backend technologies, with hands‑on experience deploying AI‑powered solutions in production environments.

Role Overview

Architect and lead the development of the application layer for enterprise Generative AI solutions. Build scalable platforms that connect LLM backends with high-performance web applications while managing API gateways, cloud deployments, security, and observability.

The role requires close collaboration with AI/ML engineers, product teams, architects, and business stakeholders to deliver innovative GenAI-powered products.

Key Responsibilities

Application Architecture

Design and develop scalable microservices for AI-powered applications.
Architect systems to handle LLM requests, conversation management, context orchestration, and streaming responses using Server-Sent Events (SSE) and WebSockets.
Develop reusable frameworks and APIs for GenAI application development.
Drive scalability, reliability, security, and performance optimization across applications.

Frontend & Backend Integration

Build and manage modern web applications using React.js and Next.js.
Develop backend services using Python frameworks such as FastAPI and Django.
Ensure seamless, low-latency integration between frontend applications and AI/ML services.
Design and implement RESTful APIs, authentication mechanisms, and enterprise-grade integrations.

GenAI Integration

Integrate Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.) into enterprise applications.
Implement Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows.
Optimize prompt engineering, context handling, memory management, and response quality.
Collaborate with AI teams to deploy and operationalize models within production systems.

Cloud & DevOps

Lead deployment of AI applications on AWS, Microsoft Azure, or Google Cloud Platform.
Implement containerization using Docker and orchestration using Kubernetes.
Build and maintain CI/CD pipelines for application and AI service deployments.
Monitor system health, performance, security, and cost optimization.

Required Skills & Qualifications

Educational Qualification

Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or related field.

Technical Skills

Programming & Backend

Strong proficiency in Python.
Experience with FastAPI and/or Django.
Experience building scalable APIs and microservices.

Frontend Development

JavaScript and TypeScript expertise.
React.js and Next.js development experience.
Strong understanding of UI architecture and performance optimization.

Cloud & Infrastructure

Hands‑on experience with AWS, Azure, or GCP.
Knowledge of cloud-native application development.
Experience with Docker, Kubernetes, and containerized deployments.
CI/CD implementation and DevOps best practices.

Generative AI & Application Integration

Experience integrating AI/ML models into enterprise applications.
Understanding of LLM-based application architecture.
Knowledge of prompt engineering, conversational AI, and RAG implementations.
Experience with AI APIs and model orchestration frameworks.

Software Engineering

System design and scalable application architecture.
API gateway management.
Observability, logging, monitoring, and security practices.
Performance tuning and optimization.

Experience Requirements

Manager GenAI Full Stack

4 to 7 years of experience in Full Stack Development.
Strong recent experience integrating AI/ML models into web applications.
Hands‑on expertise in React/Next.js and Python-based backend frameworks.
Experience deploying cloud-native applications in production environments.

Senior Manager GenAI Full Stack

8 to 12+ years of experience in Full Stack Engineering and Solution Architecture.
Proven experience leading enterprise-scale application development teams.
Demonstrated expertise in designing and deploying AI-powered applications.
Strong stakeholder management and technical leadership capabilities.

Preferred Skills