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 robust 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 (Karnataka)
🏢 EXL
📍 Karnataka