AI-Powered Data Integration for a Global Recruitment Platform
Software as a Service (SaaS) 
Product Engineering
The
Overview
Wishtree Technologies partnered with a global recruitment platform to engineer an AI-powered data integration engine—revolutionizing how employer job feeds were processed and published. Previously, manual onboarding of each employer feed took up to two weeks.
With Wishtree’s AI solution, integration time was reduced to just two hours, enabling faster job listings, 10x quicker onboarding, and significant reductions in engineering overhead.
Problem
Statement
The client, a leading global job portal serving millions of job seekers and employers, was hampered by:
– Highly diverse job feed formats from 50+ employers
– Manual mapping, data cleansing, and validation processes
– Weeks-long delays in publishing listings
– Excessive time spent by engineering teams on repetitive integrations
To scale effectively and stay competitive, they required an AI-first solution capable of automating data parsing, validation, and integration in real-time.
Highlights
2 week
hours
200+
AI-driven workflows
deployed
50+
Data sources integrated
seamlessly
10x
Faster job listing
time-to-market
Real-time monitoring and error handling
Fully scalable AI integration framework
Agentic AI refers to autonomous, goal-driven software agents that act with limited human input to optimize specific goals like pricing, forecast demand, and detect fraud in real time.
About Client
A global recruitment platform offering job listings across multiple industries and regions, connecting millions of job seekers with employers through intelligent job matching, advanced search capabilities, and robust employer tools.
- Diverse, unstructured employer data formats.
- Manual data cleaning, mapping, and validation.
- Long integration cycles delaying job postings.
- Engineering teams burdened with repetitive tasks.
- Maintaining data accuracy and integrity.
- AI-based data normalization for diverse feed formats.
- Predictive models for identifying feed anomalies.
- Automated mapping of job categories and attributes.
- Real-time error detection and correction.
- Scalable workflows to accommodate future data sources.
Angular
MaterialUI
Memcached
Hibernate
Hibernate
Hibernate
Java
Hibernate
Hibernate
Hibernate
Spring boot
Spring boot
Spring boot
Hibernate
Hibernate
Hibernate
Spring boot
Spring boot
MySQL
Hibernate
Hibernate
Hibernate
Spring boot
Spring boot
Stripe
Hibernate
Hibernate
Hibernate
Spring boot
Spring boot
Avalara
Core Features
Real-Time Monitoring
Integrated Ecosystem
AI-Driven Account Recovery
Manager-Led Approvals
Scalable Automation Framework
Impact
- Faster job availability improved the candidate experience
- Reduced engineering workload freed up teams for innovation
- Scalable foundation laid for future HR tech initiatives
| Metric | Before | After |
|---|---|---|
|
Employer Feed Integration |
2 weeks |
2 Hours |
|
Job Listing Time-to-Market |
Sluggish |
10x faster |
|
Engineering Hours per Month |
High |
Substantially reduced |
|
Data Quality & Accuracy |
Manual QA |
AI-validated, real-time |
200+ AI Workflows Deployed – Automate Your
HR Tech Stack
Start in just 48 hours with a risk-free trial.