Role Overview: 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
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 contemporary frontends (React/Next.js) and Python/FastAPI backends running AI models.
Qualifications
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-stack development with a solid recent focus on integrating AI/ML models into web apps.