Selected work
AI recruitment / custom platform
AI-assisted job discovery shaped into a product-grade search experience.
Job-Djinn combines natural-language job search, CV-based discovery, structured filtering and AI ranking into a focused custom platform direction.
- AI search
- FastAPI
- Symfony
- Astro
- Matching logic
- Platform UX
Case overview
Project context and business value.
A custom recruitment platform that turns complex job discovery into a clearer, more personalized and more structured user journey.
What needed to be solved.
Job search becomes noisy when users must translate their needs into rigid filters. The challenge was to combine prompt-based search, CV context, country-specific sources and structured results into one usable flow.
How the direction was shaped.
The system uses a product-style architecture with frontend search flow, API layer, scraper sources, AI parsing, ranking and normalized result presentation. The interface stays focused while the backend handles complexity.
Work layers
What this case shows.
The reference is evaluated through structure, technical direction, delivery value and future growth potential.
Natural-language discovery
Users can describe what they are looking for instead of relying only on rigid filters.
AI-assisted ranking
Search results can be interpreted, summarized and scored for relevance.
Platform architecture
Frontend, API, scraping and AI layers are separated so the system can grow.
Role
Delivery responsibilities.
Product architecture
Frontend flow
Backend API direction
AI ranking logic
Scraper integration thinking
Deliverables
What the work included.
Search interface
Prompt/CV flow
Result normalization
AI summary/ranking direction
API-connected architecture
Technical direction
Built like a system, not just a page.
The technical focus changes by project type, but the same delivery logic remains: clear structure, responsive implementation, maintainability and room to grow.
Symfony
Astro
FastAPI
Python
AI ranking
Scraping pipelines
Result
Product-like web application experience
A more relevant job discovery experience where natural-language prompts and CV context can guide structured platform results.
Start with structure
Need a project with this kind of technical direction?
Send a short brief and get a clear scope direction before the first build decision.
Scoped before development. Built with room to grow.