Full Stack Engineer With Gen Ai

Senior Manager, GenAI Full Stack Experience: 4–7 Years Role Overview: 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. 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-stackdevelopment with a strong recent focus on integra...