Our client is seeking a candidate experienced in AI and Backend deployment expertise to support the team in the deployment, scaling, and maintenance of a GPT-based web container application designed for internal users. The consultant will work closely with data scientists to ensure robust infrastructure, database setup, and proper role-based access control (RBAC) mechanisms are in place.
Key Responsibilities:

• Backend Deployment & Infrastructure Scaling:
  • Design and implement scalable backend architecture for the GPT-based application, ensuring high availability, reliability, and performance.
  • Deploy and manage the application in Azure
• Database Setup & Optimization:
  • Architect, set up, and optimize databases (e.g., PostgreSQL) to handle the storage and retrieval of data efficiently.
  • Vector database setup for RAG usecases
  • Ensure data security, backup, and recovery processes are in place
• Roles & Permissions Management: Develop and implement role-based access control (RBAC) systems
• Integration & API Management: Develop and manage APIs that allow for secure and efficient communication between the frontend and backend services.
• Monitoring, Troubleshooting & Continuous Improvement:
  • Set up monitoring and logging systems to track application performance and identify issues.
  • Provide ongoing support and recommendations for improving the infrastructure, ensuring the app scales effectively with growing user demands.