Jobizo - Revolutionizing Healthcare Recruitment with AI-Powered Intelligent Matching
Jobizo partnered with Wohlig Transformations to develop and deploy a comprehensive three-tier AI API suite that automates candidate evaluation, enhances job discovery, and provides instant user support, transforming the healthcare recruitment landscape.
Project Overview
The project delivered an advanced AI-powered recruitment intelligence platform consisting of three specialized APIs designed to automate and optimize the entire candidate-employer matching process. By leveraging Google’s Vertex AI ecosystem with Gemini 2.5 Flash and advanced embedding models, Jobizo aimed to eliminate manual screening bottlenecks, improve match quality, and scale operations to meet growing demand in the healthcare and professional services sector.
The Challenge
Jobizo, a tech-driven recruitment platform focused on streamlining the hiring process for healthcare and professional services, faced several critical operational challenges:
Manual Screening Bottlenecks: Recruiters spent excessive time manually vetting resumes against complex job descriptions, particularly for specialized healthcare roles requiring specific certifications, experience levels, and skill combinations.
Sub-optimal Matching: Candidates frequently received job alerts that didn’t align with their specific skill sets, geographic preferences, or career aspirations, leading to low application rates and poor user engagement.
Information Silos: New users and candidates struggled to find answers to platform-related queries, resulting in high support ticket volumes and delayed onboarding experiences.
Scalability Concerns: The platform needed a robust backend infrastructure capable of handling real-time AI processing at scale without compromising response times or user experience.
Key Objectives
The solution was designed to address four critical pillars for transforming recruitment operations:
Automate Candidate Vetting: Reduce manual screening time through intelligent resume parsing and semantic analysis.
Precision Recommendation: Increase job application rates by providing highly relevant, contextual matches based on skills, location, and preferences.
Instant Support: Lower support overhead by automating FAQ responses with conversational AI.
High Performance: Ensure the system handles complex AI tasks with sub-second latency while supporting future scale.
The Solution: Three-Tier AI API Suite
Wohlig engineered a comprehensive intelligent recruitment platform leveraging Google Cloud’s cutting-edge AI capabilities:
The Three Pillars (APIs)
1. Resume Analysis API
Performs deep semantic analysis of candidate resumes against specific Job Descriptions (JD)
Generates comprehensive “match scores” with detailed gap analysis
Identifies both hard skills and soft skills that traditional keyword parsers miss
Provides actionable feedback to candidates on profile improvements
2. Job Recommendation API
Delivers hyper-personalized job recommendations using vector-based similarity search
Factors in multiple dimensions: JD requirements, work city preferences, job type, and skill depth
Employs Text-Embedding-004 for contextual understanding beyond keyword matching
Continuously learns from user interactions to refine recommendations
3. FAQ LLM API
Conversational AI interface powered by advanced large language models
Provides instant, context-aware answers to platform-related queries
Reduces dependency on human support agents for common questions
Maintains conversation history for more natural multi-turn interactions
Technology Infrastructure
The platform leverages a modern, scalable technology stack:
AI & Data Science (Google Cloud):
Vertex AI with Gemini 2.5 Flash Live API for real-time language understanding
Text-Embedding-004 for advanced semantic search and similarity matching
Cloud Monitoring for performance tracking and optimization
Backend & Infrastructure:
Node.js for high-performance, non-blocking API services
MongoDB for flexible document storage and rapid data retrieval
Google Cloud Storage for secure resume and document management
Key Benefits & Results
The implementation of this AI-powered recruitment suite delivered exceptional results across all metrics:
Advanced Resume Intelligence
Old Process: Manual scanning of resumes for keyword matches, missing nuanced qualifications and context
Our Solution: Deep semantic analysis using Gemini 2.5 Pro that understands professional intent and experience relevance
Impact: 50% more accurate shortlisting, with the ability to identify soft skills and relevant experience that traditional parsers completely miss
Result: Recruiters now spend time on qualified candidates rather than sifting through mismatched profiles
Contextual Job Matching
Old Process: Basic keyword-based filtering that ignored geographic preferences and career context
Our Solution: Vector-based search using text-embedding-004 that simultaneously factors in city, job type, and skill depth
Impact: 35% increase in user click-through rates (CTR) on recommended jobs
Result: Higher quality applications and improved candidate satisfaction with relevant opportunities
Reduced Support Burden
Old Process: Static FAQ page and manual email support leading to response delays
Our Solution: LLM-powered conversational FAQ bot with natural language understanding
Impact: 70% of common queries resolved instantly without human intervention
Result: Support team can focus on complex issues while users get immediate assistance 24/7
Operational Efficiency
Efficiency: Automated 90% of the initial resume screening process, freeing recruiters to focus on interviews and relationship building
User Engagement: 2x increase in candidate application frequency, demonstrating improved match quality and user confidence
Performance: Achieved sub-second response times for complex job recommendations, ensuring seamless user experience
Scalability: Architecture designed to handle 10x growth in candidate traffic without infrastructure overhauls or performance degradation
Technical Innovation
The project introduced several groundbreaking capabilities to the recruitment technology space:
Semantic Resume-JD Mapping: Goes beyond simple keyword matching to understand “professional intent” by analyzing career trajectories, skill progression, and contextual experience relevance.
Location-Aware Recommendation Engine: Intelligently balances job requirements with geographic preferences, commute considerations, and regional market dynamics.
Professional Intent Understanding: Advanced NLP models that comprehend career aspirations, growth potential, and cultural fit indicators from resume content and interaction patterns.
Real-Time Vector Search: FAISS-powered similarity search enables instantaneous matching across thousands of candidates and job postings with millisecond response times.
Conversational Support Intelligence: Context-aware FAQ system that maintains conversation state and provides personalized guidance based on user profile and journey stage.
Wohlig’s Approach
Wohlig followed a structured, phased implementation approach:
Discovery & Requirements Analysis: Comprehensive understanding of recruitment workflows, pain points, and success metrics across different user personas.
API Architecture Design: Design of three-tier API structure ensuring modularity, scalability, and independent optimization of each intelligence layer.
AI Model Development: Development and fine-tuning of semantic analysis, embedding models, and conversational AI components using Vertex AI.
Backend Infrastructure Setup: Node.js/MongoDB architecture implementation with Google Cloud integration for storage, monitoring, and AI processing.
Integration & Testing: Comprehensive testing across resume formats, job categories, and query patterns to ensure robust performance.
Deployment & Optimization: Production rollout with continuous monitoring, A/B testing, and iterative refinement based on real-world usage patterns.
About Jobizo
Jobizo is a tech-driven recruitment platform revolutionizing how healthcare professionals and employers connect. Specializing in healthcare and professional services recruitment, Jobizo serves medical professionals, specialists, and job seekers across diverse roles and specializations. The platform is recognized for its precision in skill-matching and dramatic reduction in “time-to-hire” for critical roles. By leveraging cutting-edge AI technology, Jobizo eliminates the friction in job matching and career advancement, enabling healthcare organizations to find the right talent faster while helping professionals discover opportunities that align with their skills and aspirations.
About Wohlig Transformations Pvt. Ltd.
Founded in 2015, Wohlig Transformations specializes in GenAI and DevOps services, with a team of over 160 professionals across India and the UK. Their expertise in implementing advanced AI solutions and proficiency in cloud technologies has helped numerous organizations transform their operations and achieve digital excellence. Wohlig’s deep experience in natural language processing, semantic search, and conversational AI enables clients to build intelligent platforms that deliver exceptional user experiences.
Innovation Delivered
By integrating Google’s cutting-edge Vertex AI ecosystem with a robust Node.js/MongoDB backend, Jobizo has transformed into an AI-first recruitment powerhouse. The platform now provides a personalized, intelligent experience for every medical professional, understanding not just what candidates have done, but what they’re capable of and where they want to go in their careers.
The semantic resume-JD mapping doesn’t just look for words—it understands professional intent, career progression, and potential. Combined with a location-aware recommendation engine and instant conversational support, Jobizo delivers a recruitment experience that feels intuitive, intelligent, and deeply personalized.
Learn More
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Detailed Case Study Presentation:
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