About the Role
Designation- Senior Manager GenAI Full Stack
Experience: 4–7 Years

Architect and 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
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




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 solid recent focus on integrating AI/ML models into web apps.

Required Skills
Python (FastAPI/Django)
JavaScript/TypeScript (React, Node.js)
Docker
Kubernetes
AWS/Azure AI services

Preferred Skills
Experience with CI/CD pipelines
Knowledge of microservices architecture

📌 Full Stack Engineer (Bengaluru)
🏢 EXL
📍 Bengaluru