Senior Manager - GenAI Full Stack

EXL; Bengaluru; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

EXL Services is seeking a Senior Manager - GenAI Full Stack to lead the design, development, and deployment of enterprise-grade Generative AI applications, with a focus on scalable cloud-native solutions.

You will architect layers connecting AI/LLM backends to modern frontend experiences, manage API integrations, and drive end-to-end deployment across cloud platforms in a hybrid Bangalore setup.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4-7 years of experience in Full Stack Development.
• Recent and significant experience integrating AI/ML models into web applications.
• Strong problem-solving, stakeholder management, and communication skills.

Responsibilities

• Architect scalable microservices to process LLM requests and responses.
• Develop frontend-backend integration between React/Next.js and Python/FastAPI/Django.
• Design and maintain robust APIs for AI-powered applications.
• Deploy and manage AI applications on cloud platforms with CI/CD and DevOps practices.

Skills

Python

JavaScript/TypeScript

React

Next.js

Node.js

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Microservices

Education

Bachelor's/Master's in CS/IT

Tools

FastAPI/Django

Docker

Kubernetes

AWS/Azure/GCP

Job description

Senior Manager - GenAI Full Stack

Job Title: Senior Manager - GenAI Full Stack

Experience: 6 to 12 Years

Location: Bangalore / Hybrid (as applicable)

Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Senior Manager - GenAI Full Stack to lead the design, development, and deployment of enterprise-grade Generative AI applications. The ideal candidate will have strong full-stack engineering expertise, experience integrating Large Language Models (LLMs) into production environments, and a proven ability to build scalable cloud-native solutions.

In this role, you will architect application layers that connect AI/LLM backends with modern frontend experiences, manage API integrations, and drive end-to-end deployment across cloud platforms.

Key Responsibilities

Application Architecture

• Design and develop scalable microservices to process LLM requests and responses.


• Implement context management frameworks for GenAI applications.


• Build and optimize real-time response systems using Server-Sent Events (SSE) and streaming architectures.


• Ensure high availability, scalability, security, and performance of AI-driven applications.

Frontend & Backend Integration

• Develop seamless integrations between React/Next.js frontends and Python/FastAPI backends.


• Optimize application performance for low-latency AI interactions.


• Collaborate with product, AI/ML, and engineering teams to deliver intuitive user experiences.


• Design and maintain robust APIs for AI-powered applications.

Cloud & DevOps

• Deploy and manage AI applications on AWS, Azure, or Google Cloud Platform (GCP).


• Build and maintain CI/CD pipelines for AI software components.


• Containerize applications using Docker and orchestrate deployments using Kubernetes.


• Monitor application performance, reliability, and deployment health.

Required Skills

Technical Skills

• Strong programming experience in Python (FastAPI/Django).


• Proficiency in JavaScript/TypeScript, React, Next.js, and Node.js.


• Experience with Docker, Kubernetes, and Microservices Architecture.


• Hands-on experience with AWS, Azure AI Services, or Google Cloud AI offerings.


• Knowledge of API development, integrations, and backend services.


• Experience working with LLMs, GenAI applications, AI agents, RAG frameworks, or AI-powered web applications.

Preferred Skills

• Experience with AI model deployment and inference optimization.


• Familiarity with vector databases and modern AI application frameworks.


• Understanding of MLOps and AI application lifecycle management.


• Knowledge of streaming applications and real-time communication patterns.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.


• 4-7 years of experience in Full Stack Development specifically.


• Recent and significant experience integrating AI/ML models into web applications.


• Strong problem-solving, stakeholder management, and communication skills.