AI CV Shortlisting SaaS MVP

Budget: $25 - $50/hr

I’m ready to move from idea to a usable, cloud-hosted product that lets oil-and-gas recruiters shortlist hundreds of résumés in seconds. The goal is a production-ready web application—no mobile yet—that hiring teams can the same day we launch and immediately trust for real vacancies. Because we’re starting with a clean slate, you’ll own architecture choices end to end and won’t need to untangle any legacy databases.

Here’s what the first release must do:

• Vacancy workflow: create a position, define competencies and weighting, then save the rubric for reuse. • Candidate intake: drag-and-drop single files or bulk ZIP/CSV uploads; automatically parse PDF/Word. • AI matching engine: run each CV through the rubric plus semantic matching to generate a score, rank order, and a short “why” explanation per candidate. • Review dashboard: filter, search, export to Excel/CSV, and mark favourites or rejections; everything updates in real time. • User management: role-based access (recruiter, manager, admin) secured with JWT/OAuth and multi-tenant separation. • Deployment: containerised build with automated tests, CI/CD pipeline, and one-click provisioning on the cloud provider we agree on.

Acceptance criteria

1. A recruiter can complete the entire flow—from posting a vacancy to exporting a ranked shortlist—in under 10 minutes with no console errors.
2. Each candidate card shows the rubric score and flags any documentation expiry and details of explaining the score that matches the rubric weights.
3. System sustains 1,000 concurrent CV parses with ≤3 s average response time on moderate cloud hardware.
4. Full suite of unit and integration tests runs green in CI.

Tech stack is flexible (Node/Typescript + React, or Python/FastAPI + Vue, etc.) as long as it is well-documented and easy for another engineer to extend. Please outline your proposed stack, timeline, and any prior AI-driven HR or staffing projects you can demo in your bid.