AI-Powered B2B SaaS Build
Budget: £250 – £750 GBP
I’m kicking off the ground-up build of a B2B SaaS platform aimed at service-provider companies and need a seasoned web developer to own the full-stack implementation. The product vision centers on an AI layer that delivers real-time personalized recommendations to end users, helping each business surface the most relevant content, offers, or workflow suggestions inside the app.
Core scope
• Architect and code the multi-tenant SaaS foundation—secure authentication, role-based access, and a clean admin console come first.
• Implement the recommendation engine. I’m open to the stack you are most productive with—Python or Node back-end, TensorFlow, PyTorch, or a third-party ML service—as long as we can expose it via a scalable API and iterate quickly on models.
• Build an automated document-generation module. Users should be able to feed data from their account and instantly receive polished, branded PDFs or DOCX files.
• Front-end should be modern, responsive, and component-driven (React, Vue, or similar).
• See the attached spec for full product details
High-level acceptance criteria
1. A working MVP deployed to a cloud environment (AWS, GCP, or Azure) that supports at least 100 concurrent tenant accounts without performance drops.
2. Recommendation accuracy metrics and an admin dashboard that lets me tune model parameters.
3. Document generation delivering downloadable files in under 3 seconds for a standard data set.
4. Comprehensive API documentation and hand-off of source code in a private repo.
If you’ve shipped SaaS products before and can weave AI recommendations seamlessly into business workflows, let’s talk roadmap and milestones.
Core scope
• Architect and code the multi-tenant SaaS foundation—secure authentication, role-based access, and a clean admin console come first.
• Implement the recommendation engine. I’m open to the stack you are most productive with—Python or Node back-end, TensorFlow, PyTorch, or a third-party ML service—as long as we can expose it via a scalable API and iterate quickly on models.
• Build an automated document-generation module. Users should be able to feed data from their account and instantly receive polished, branded PDFs or DOCX files.
• Front-end should be modern, responsive, and component-driven (React, Vue, or similar).
• See the attached spec for full product details
High-level acceptance criteria
1. A working MVP deployed to a cloud environment (AWS, GCP, or Azure) that supports at least 100 concurrent tenant accounts without performance drops.
2. Recommendation accuracy metrics and an admin dashboard that lets me tune model parameters.
3. Document generation delivering downloadable files in under 3 seconds for a standard data set.
4. Comprehensive API documentation and hand-off of source code in a private repo.
If you’ve shipped SaaS products before and can weave AI recommendations seamlessly into business workflows, let’s talk roadmap and milestones.