Expert Team for Global Search Finalization
Budget: $750 – $1,500 USD
We are looking for a senior technical expert or small specialist team to help us finalize and close an advanced Global Search implementation for a beauty/clinic platform.
The product is already developed to a significant extent, and the current development team has brought the system far. However, we now need additional specialist competence to help close the remaining Global Search issues and make the feature launch-ready.
The system includes AI intent logic, backend search, treatment/device/concern mappings, fallback logic, ranking and app search flows. The current challenge is to make the search results more predictable, accurate, fast and validated for launch.
We need someone who can quickly review the existing implementation, understand the current architecture, identify what is missing or misaligned, and give concrete technical recommendations or fixes to close the issue.
Required expertise:
* AI-assisted search architecture
* deterministic search rules and ranking logic
* backend/API review, preferably Node.js
* database mapping between treatments, devices, concerns and clinics
* search relevance, fallback logic and result validation
* ability to move from analysis to practical closure
We are not looking for a general developer only. We need someone experienced enough to help us close the remaining search-quality gap and make the implementation launch-ready.
The product is already developed to a significant extent, and the current development team has brought the system far. However, we now need additional specialist competence to help close the remaining Global Search issues and make the feature launch-ready.
The system includes AI intent logic, backend search, treatment/device/concern mappings, fallback logic, ranking and app search flows. The current challenge is to make the search results more predictable, accurate, fast and validated for launch.
We need someone who can quickly review the existing implementation, understand the current architecture, identify what is missing or misaligned, and give concrete technical recommendations or fixes to close the issue.
Required expertise:
* AI-assisted search architecture
* deterministic search rules and ranking logic
* backend/API review, preferably Node.js
* database mapping between treatments, devices, concerns and clinics
* search relevance, fallback logic and result validation
* ability to move from analysis to practical closure
We are not looking for a general developer only. We need someone experienced enough to help us close the remaining search-quality gap and make the implementation launch-ready.