Match Profile to Positions
Automatically match candidate profiles to best-fit roles to increase quality of hire and speed up shortlists.
Trusted by
Built on proven resume-parsing and semantic matching approaches used by major job platforms and validated in independent industry analyses.
Success Story
ZipRecruiter reduced applications to poor matches by 47% and increased strong-match applications by 26% using its matching engine (example of a similar matching approach, not this agent)
Integrates with
Problem
Recruiters waste time manually screening large candidate pools and often miss good matches because of inconsistent scoring and keyword-only searches. Poor match quality increases time-to-hire and causes bad hires.
Solution
This agent automates CV ingestion, semantic skill extraction, role profiling and multi-factor scoring to return ranked shortlists with confidence scores and recommended interview questions — reducing manual effort and improving hire fit.
Result
Expect faster shortlists delivered to hiring teams, fewer irrelevant applications reviewed, higher interview-to-hire conversion, and improved quality of hire due to more accurate skill and cultural fit matching.
Use Cases
Match Profile to Positions automatically ingests candidate CVs, LinkedIn profiles, and application answers, then scores and ranks candidates against open roles using multi-factor matching (skills, seniority, location, cultural fit and soft-skills indicators). It produces a ranked shortlist for each vacancy, highlights missing skills and suggested interview questions, and pushes the top candidates to your ATS with confidence scores and audit logs. Designed for hiring teams, the agent reduces manual sifting, improves candidate-to-role fit, and ensures consistent, documented matching decisions for compliance and auditing. Works as an API or via workflow tools (n8n / Make.com) and integrates with common ATSs for automated shortlists.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Discovery & role profiling
1 weekdefine scoring rules and success metrics
Data ingestion & parser setup
1 weekconfigure CV/LinkedIn ingestion
Matching engine configuration
1 weekcalibrate scoring thresholds and explainability outputs
Pilot & validation
1 weekrun pilot on 50–200 candidates, gather feedback
ATS integration & rollout
3-5 daysenable push to ATS and notifications
Monitoring & optimisation
ongoingrefine thresholds and retrain classifiers
Support Included
Comprehensive documentation with step-by-step workflow setup, API configuration guides, integration instructions. Optional onboarding call and email support during the launch phase.
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