GenAI Full Stack Developer This track is responsible for integrating GenAI capabilities into user-facing applications, building robust backend APIs, and ensuring seamless user experiences with AI.

Role : Senior Manager, GenAI Full Stack

Experience : 4 to 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 : Bachelors/Masters in CS; 4 to 7 years in full-stack development with a strong recent focus on integrating AI/ML models into web apps