AI-Powered Recruitment Process
Company Overview
The client is a fast-scaling recruitment agency supporting tech and digital companies. With hundreds of job openings across multiple industries, the agency struggled to match candidates quickly while maintaining quality. Their recruiters were spending hours searching databases, screening CVs, and handling repetitive communication.
Problem
Recruiters faced three main challenges:
Manual candidate sourcing
searching across multiple platforms and databases took hours per vacancy.
High operational load
recruiters spent 40–60% of their time on repetitive screening and scheduling tasks.
Slow time-to-hire
urgent vacancies could take weeks to close, frustrating both clients and candidates.
The company needed an AI solution that could accelerate sourcing and screening without compromising quality.
Solution
We implemented an AI-powered recruitment assistant that streamlined candidate sourcing, profile matching, and recruiter–candidate communication. The system combined retrieval-augmented generation (RAG) with conversational AI to help recruiters find and evaluate candidates faster.
Key Technologies Used
RAG (Retrieval-Augmented Generation)
to fetch candidate data from job boards, LinkedIn, and internal CRM.
Conversational AI / LLMs
for candidate communication and recruiter Q&A.
Python & APIs
to integrate external data sources and automate workflows.
Cloud Data Store
to unify candidate profiles and search across multiple sources.
Team Composition
- 2 AI Engineers — built and fine-tuned RAG and conversational AI modules.
- 1 Data Engineer — integrated external data APIs (LinkedIn, job boards, ATS).
- 1 Project Manager — coordinated requirements with the recruitment team.
Responsibilities & Execution
Connected multiple sources (LinkedIn, job boards, ATS) into a unified database.
Enabled recruiters to query the system with natural language (“Find Java developers in Berlin with 5+ years of fintech experience”).
Automated CV parsing and initial qualification using ML models.
Built an AI recruiter assistant capable of drafting outreach emails, answering candidate FAQs, and scheduling interviews.
Reduced manual data entry and repetitive scheduling tasks.
Results
- 30–50% faster closing of urgent vacancies, reducing time-to-hire significantly.
- 40–60% less manual recruiter workload thanks to automated sourcing and communication.
- Improved candidate engagement — faster responses, personalized outreach, and higher acceptance rates.
- Scalable recruiting process — agency could handle more vacancies without increasing staff size.