SaaS Cloud Architecture with AI Integration
Budget: $750 – $1,500 USD
*Cloud Architecture for a Multi-Tenant SaaS Platform with Agentic AI (Next.js, AWS, Stripe, Auth0)*
We are a growing IT company seeking skilled professionals to help design, build, and enhance a cloud-native, multi-tenant SaaS platform that supports Free, Pro, and Enterprise user tiers, each with distinct feature sets and storage policies. The application integrates Agentic AI capabilities and is architected for high scalability and performance using modern cloud and development technologies including Vercel, AWS App Runner, Docker, Auth0, Stripe, and GitHub.
The front end is built with Next.js and ShadCN/UI, providing a clean, responsive Single Page Application (SPA). Key features of the platform include an Agentic AI/ AI Assistant, collaborative apps (Tasks, Tickets, Teams, Calendar), issue tracking, document management, audit logs, and integrated LLM (Ollama) chatbot functionality. The app is multilingual, supports dark/light mode, and includes real-time data usage dashboards.
From a DevOps perspective, the system uses a CI/CD pipeline, Dockerized deployment, and global CDN support, with centralized authentication via Auth0 Organizations. Billing and data storage policies are tightly integrated with Stripe, where Free and Pro tiers are billed based on usage in a shared S3 bucket with prefix-level separation, while Enterprise users utilize their own S3 buckets via AWS cross-account access, retaining full data residency and control.
We're looking for experienced Next JS, AWS, cloud architects, and DevOps and AI engineers, familiar with vO, Cursor, loveable and other latest AI technologies for SaaS rapid development. The one who can work within this modern architecture, deliver secure and scalable components, and contribute to ongoing development and feature expansion.
We are a growing IT company seeking skilled professionals to help design, build, and enhance a cloud-native, multi-tenant SaaS platform that supports Free, Pro, and Enterprise user tiers, each with distinct feature sets and storage policies. The application integrates Agentic AI capabilities and is architected for high scalability and performance using modern cloud and development technologies including Vercel, AWS App Runner, Docker, Auth0, Stripe, and GitHub.
The front end is built with Next.js and ShadCN/UI, providing a clean, responsive Single Page Application (SPA). Key features of the platform include an Agentic AI/ AI Assistant, collaborative apps (Tasks, Tickets, Teams, Calendar), issue tracking, document management, audit logs, and integrated LLM (Ollama) chatbot functionality. The app is multilingual, supports dark/light mode, and includes real-time data usage dashboards.
From a DevOps perspective, the system uses a CI/CD pipeline, Dockerized deployment, and global CDN support, with centralized authentication via Auth0 Organizations. Billing and data storage policies are tightly integrated with Stripe, where Free and Pro tiers are billed based on usage in a shared S3 bucket with prefix-level separation, while Enterprise users utilize their own S3 buckets via AWS cross-account access, retaining full data residency and control.
We're looking for experienced Next JS, AWS, cloud architects, and DevOps and AI engineers, familiar with vO, Cursor, loveable and other latest AI technologies for SaaS rapid development. The one who can work within this modern architecture, deliver secure and scalable components, and contribute to ongoing development and feature expansion.