Full Stack Engineer with Gen AI

Senior Manager, GenAI Full Stack Experience:\n4–7 Years Role Overview: Architect and lead the development of the application layer for enterprise GenAI solutions.\nConnect LLM backends to scalable frontends while managing API gateways and cloud deployments.\n\nKey Responsibilities .\nApplication Architecture: Design scalable microservices that handle LLM requests, streaming responses (Server-Sent Events), and context management.\nCloud & DevOps: Oversee the deployment of AI applications on AWS, Azure, or GCP. Integrate CI/CD pipelines for AI software components.\nFrontend & Backend Integration: Ensure seamless, low-latency integration between modern frontends (React/Next.js) and Python/FastAPI backends running AI models.\nRequired Skills & Qualifications\n• Tech Stack: Python (FastAPI /Django), JavaScript/TypeScript (React, Node.js), Docker, Kubernetes, AWS/Azure AI services.\nQualifications: 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