EXL

Manager, GenAI Full Stack Developer

In short

This role leads the application layer for enterprise GenAI solutions, connecting LLM backends to scalable frontends and managing API gateways and cloud deployments. It involves designing scalable microservices for LLM requests, streaming responses, and context management, plus overseeing AI app deployment on AWS/Azure/GCP and CI/CD pipelines. It requires 4–7 years of full-stack development experience with a strong recent focus on integrating AI/ML models into web apps, using Python (FastAPI/Django), JavaScript/TypeScript (React, Node.js), Docker, and Kubernetes.

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.

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: 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.

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