Manager, GenAI Full Stack Developer

EXL; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EXL is seeking an Application Development Engineer to lead the application layer for enterprise GenAI solutions. You will connect LLM backends to scalable frontends and manage API gateways and cloud deployments.

The role focuses on designing microservices, deploying AI apps on AWS/Azure/GCP, integrating CI/CD for AI components, and ensuring low-latency integration between React/Next.js frontends and Python/FastAPI backends.

Qualifications

• Bachelor’s or Master’s in CS; 4–7 years in full-stack development with recent AI/ML integration experience.
• Experience designing scalable microservices and deploying AI-enabled applications.
• Proficiency with modern frontend (React/Next.js) and backend (Python/FastAPI) stacks.

Responsibilities

• Application Architecture: Design scalable microservices that handle LLM requests, streaming responses, 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.

Skills

Full-stack development

AI/ML integration

React/Next.js

Python/FastAPI

Cloud deployment

Education

Bachelor’s/Master’s in CS

Tools

AWS

Azure

GCP

Job description

• Job Role Application Development-Applications Development Engineering
• Experience (In Years) 3-6

Job Description

Role Overview: Lead the development of the application layer for enterprise GenAI solutions. Connect LLM backends to scalable frontends while managing API gateways and cloud deployments.

Responsibilities

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.

Qualifications

Required Skills & Qualifications

• Qualifications: Bachelor’s/Master’s in CS; 4–7 years in full-stack development with a strong recent focus on integrating AI/ML models into web apps.