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 ...