Manager, GenAI Full Stack Developer
About the Role
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 Skills for This Role
Full Job Posting
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.
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 strong recent focus on integrating AI/ML models into web apps.
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 modern frontends (React/Next.js) and Python/FastAPI backends running AI models.
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