FiftyFive built a custom recruitment platform that unifies fragmented graduate job data into one searchable, AI-driven ecosystem. Semantic search, Kanban application tracking, and automated ATS integrations replace manual sourcing and missed deadlines.
Build Your Platform With UsThe client is a UK-based recruitment technology company focused on graduate hiring. Their platform helps STEM and Finance students discover, apply for, and track early-career opportunities in one place. The business case rests on AI-driven personalisation and real-time application management — replacing the scattered, manual process most graduates navigate today. FiftyFive was engaged to design, develop, and deliver that ecosystem end to end.
Graduate job discovery was fragmented across dozens of disconnected sources, with no personalisation and no single place to track applications. FiftyFive had to unify scattered data, add intelligence on top of it, and cut manual workload for both students and administrators.
FiftyFive designed the platform as two connected portals — one for candidates, one for administrators — sharing a common data backbone. Job listings are sourced automatically, enriched and normalised through OpenAI-powered pipelines, then surfaced through semantic search that understands intent rather than keywords. Candidates track everything they apply to in a structured Kanban board with deadline alerts. Administrators manage schemes through a dashboard wired directly into major ATS platforms. The whole system runs cloud-native on Dockerised AWS infrastructure, built for SaaS scaling from day one.
The candidate-facing portal is the primary discovery and tracking surface, built in React.js with authentication designed to remove signup friction while staying secure.
Search is built on OpenAI-driven NLP models rather than keyword indexing, so results reflect what a role actually involves and what a candidate is actually looking for.
Every application a candidate submits becomes a tracked card moving through defined stages, giving students the single system of record they previously lacked.
Administrators and recruiters manage schemes, listings, and candidate flow from a dedicated portal connected directly to the applicant tracking systems employers already run.
The data backbone runs continuously, pulling opportunities from multiple channels and making them consistent before they reach candidates.
The platform was built modular and cloud-native from the outset so the client could expand into SaaS, mobile, and employer-facing products without re-architecting.
Cross-Functional
Delivery Team
The platform replaced fragmented, manual graduate job hunting with a single AI-driven ecosystem covering discovery, application, and tracking. Students find relevant roles faster; recruiters spend less time on administration.
The AI recruitment platform delivers 80% faster job discovery through semantic search, personalised recommendations, and automated alerts replacing manual multi-site searching.
Structured Kanban application tracking and deadline reminders improved candidate application success rates by giving students one reliable system of record.
Automated scheme management and integrated ATS workflows cut recruiter administrative overhead significantly, removing manual job entry and listing maintenance from daily operations.
The modular, cloud-native AWS architecture positions the platform for SaaS expansion, mobile applications, and employer-facing dashboards without structural rework.
An AI-powered recruitment platform uses machine learning and natural language processing to match candidates with relevant jobs, automate job sourcing, and streamline application tracking. Unlike keyword-based job boards, it interprets the intent behind a search and the meaning within job descriptions to deliver personalised, relevant results.
Semantic job search uses NLP models to understand the meaning of job descriptions and candidate queries rather than matching exact keywords. It analyses skills, role requirements, and career intent to rank opportunities by genuine relevance, surfacing roles a keyword search would miss entirely.
AI improves graduate recruitment by automating job aggregation across fragmented sources, personalising recommendations to each student's discipline and career stage, and sending real-time deadline alerts. For recruiters, AI reduces manual scheme management and job entry, cutting administrative overhead across the hiring cycle.
A recruitment platform should include secure onboarding, personalised job search, application tracking, real-time deadline alerts, and an administrator dashboard. Automated job sourcing, data normalisation pipelines, and ATS integrations are essential for keeping listings current without manual maintenance.
Recruitment platforms integrate with applicant tracking systems through their published APIs, synchronising job listings, applications, and candidate status. FiftyFive built native integrations with Workday, Greenhouse, and SmartRecruiters, enabling automated scheme management and removing manual data entry for recruiters.
A modern recruitment platform typically uses React.js for the frontend, NestJS or Node.js for the backend, and MongoDB for flexible job data storage. Docker containers on AWS provide cloud-native scalability, while OpenAI APIs power semantic search and automated data enrichment.
Job data is aggregated through a combination of webhooks, newsletter ingestion, ATS API connections, and web scraping tools such as Zyte. Because sources return inconsistent formats, enrichment and normalisation pipelines then standardise titles, requirements, and metadata before listings reach candidates.
Timelines depend on scope, integrations, and AI complexity. A platform with dual portals, semantic search, ATS integrations, and automated sourcing typically requires a multi-month engagement with a dedicated team. FiftyFive offers a two-week free proof of concept to validate approach before full development begins.
Candidate data security depends on authentication design, infrastructure hardening, and access controls. Secure implementations use OAuth and OTP authentication, containerised cloud deployments with isolated environments, and encrypted data handling — ensuring personal and application data stays protected across both candidate and administrator portals.
Yes, provided it is architected modularly from the start. A cloud-native foundation using containerised services on AWS supports multi-tenant SaaS expansion, mobile applications, and employer-facing dashboards without re-architecting the core platform as user volumes and feature scope grow.
FiftyFive Technologies builds custom recruitment platforms with 300+ professionals across offices in India, the UK, Sweden, and the UAE. Time-zone-aligned delivery, flexible engagement models, and a two-week free proof of concept let recruitment technology companies validate the build before committing.
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