Senior Manager_ GenAI Full Stack

EXL

Bengaluru

Hybrid

INR 2,500,000 - 4,200,000

Full time

27 hours ago
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Job summary

EXL in Bengaluru/Gurgaon is seeking a Senior Manager - GenAI Full Stack to lead design, development, and deployment of enterprise-grade GenAI applications. The role requires strong full-stack expertise and hands-on experience integrating LLMs into production environments.

You will architect layers connecting AI backends with modern frontend experiences, manage API integrations, and drive end-to-end deployment across cloud platforms, with a focus on performance and reliability.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, IT, or related field.
  • 4–7 years of relevant full stack development experience.
  • Recent experience integrating AI/ML models into web applications.

Responsibilities

  • Design and develop scalable microservices to process LLM requests.
  • Architect GenAI frontends and backends with cloud deployment.
  • Build robust APIs and ensure high availability and security.
  • Collaborate with product and AI/ML teams to deliver features.

Skills

Python
LLMs/GenAI
REST APIs
Full Stack
Cloud + DevOps

Education

Bachelor's or Master's in CS/IT

Tools

Docker
Kubernetes
React/Next.js
FastAPI/Django
AWS/Azure/GCP AI services

Job description

Job Title: Senior Manager - GenAI Full Stack

Experience: 5+Years

Location: Gurgaon and 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
  • 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.
  • 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).
  • 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 relevant experience in Full Stack Development.
  • Recent and significant experience integrating AI/ML models into web applications.
  • Strong problem-solving, stakeholder management, and communication skills.
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