[Hiring] AI-Forward Recruiter / Talent Engineer @ReWorks Solutions

Role Description

We’re looking for an AI-Forward Recruiter / Talent Engineer who understands recruitment inside out and knows how to use AI, automation, and technology to transform how recruitment gets done. This is not a traditional recruiter role, nor is it a position focused on recruiting AI professionals. Instead, you’ll combine practical recruitment experience with technical curiosity and hands-on automation skills to build smarter, more efficient recruitment workflows.

• Automating application screening and candidate communication
• Improving video screening, sourcing workflows, and recruitment reporting
• Identifying opportunities to reduce manual work and improve candidate quality
• Helping teams deliver better results
• Connecting AI tools, building workflows, testing effectiveness, and turning ideas into practical solutions

Key Responsibilities

• AI Automation and Workflow Development
  • Design, build, and implement AI-powered workflows across the recruitment lifecycle.
  • Automate repetitive tasks such as application screening, candidate communications, interview scheduling, reminders, and administrative processes.
  • Use platforms such as n8n, Make, Zapier, Clay, or similar automation tools to connect systems and streamline workflows.
  • Explore AI agents, custom GPTs, LLM integrations, and emerging technologies to improve recruitment operations.
  • Test, troubleshoot, document, and continuously optimize automated processes.
• High-Volume Recruitment and Application Management
  • Develop workflows to manage high volumes of inbound applications efficiently.
  • Build automated CV parsing, candidate screening, qualification, and routing processes.
  • Translate client requirements into structured screening criteria and assessment scorecards.
  • Improve candidate database accuracy, identify duplicate applications, and reduce unnecessary manual work.
  • Introduce appropriate human review checkpoints to maintain screening quality and ensure fair candidate assessment.
• AI-Assisted Video Screening
  • Develop workflows for candidate video invitations, reminders, completion tracking, and follow-ups.
  • Prevent duplicate invitations and improve visibility across video screening pipelines.
  • Explore AI-powered transcription and structured assessment tools.
  • Develop client-specific assessment rubrics focused on job-relevant communication, comprehension, and response quality.
  • Generate structured candidate summaries that help recruiters make informed decisions.
  • Ensure AI-generated assessments are reviewed by recruitment professionals and do not make final hiring decisions.
• Sourcing and Talent Pipeline Optimization
  • Collaborate with sourcing teams to improve candidate discovery, qualification, and pipeline management.
  • Translate client briefs into structured sourcing criteria, Boolean searches, and screening frameworks.
  • Explore AI-powered talent discovery, research, and talent-mapping tools.
  • Improve the handover of qualified candidates between sourcing and talent delivery teams.
  • Identify bottlenecks, reduce duplication, and improve candidate progression through recruitment pipelines.
• Candidate Experience and Engagement
  • Build automated yet personalized candidate communication workflows.
  • Improve response times through timely updates, reminders, and interview preparation.
  • Develop solutions to reduce interview no-shows, incomplete applications, and candidate drop-offs.
  • Automate appropriate elements of interview coordination while maintaining a personal candidate experience.
  • Ensure automation enhances communication rather than making the recruitment process feel impersonal.
• Recruitment Analytics and Reporting
  • Develop dashboards and reporting workflows to provide visibility into recruitment performance.
  • Track application volumes, screening outcomes, candidate conversion rates, pipeline movement, and turnaround times.
  • Measure the effectiveness, accuracy, and efficiency of AI-driven workflows.
  • Identify recurring bottlenecks and recommend data-driven improvements.
  • Help recruitment leadership make informed decisions around capacity, quality, and operational performance.
• Continuous Improvement and Team Enablement
  • Work closely with recruitment leadership, sourcing, talent delivery, and systems teams.
  • Identify inefficient processes and turn improvement opportunities into working solutions.
  • Document workflows and create practical guides for team adoption.
  • Train and support colleagues in using new tools, automations, and processes.
  • Stay informed about emerging AI technologies and assess their practical value to recruitment operations.

Qualifications

• At least 3 years of practical recruitment or sourcing experience, ideally in a high-volume, agency, BPO, or outsourcing environment.
• Hands-on experience building, configuring, or implementing AI-powered automations.
• Strong understanding of the end-to-end recruitment lifecycle, from sourcing and screening to shortlisting and placement.
• Practical experience with automation platforms such as n8n, Make, Zapier, Clay, or similar tools.
• Experience using AI tools such as ChatGPT, Claude, or Gemini beyond basic prompting and content generation.
• Ability to design structured prompts, screening workflows, candidate scorecards, and assessment frameworks.
• Experience working with applicant tracking systems (ATS), recruitment databases, or connected business systems.
• Strong analytical and problem-solving skills, with the ability to evaluate outputs and measure workflow performance.
• Excellent communication skills and the ability to collaborate with both technical and non-technical teams.
• Understanding of candidate confidentiality, data protection, and responsible AI implementation.

Highly Advantageous

• Experience with APIs, webhooks, and system integrations.
• Knowledge of Python, Google Apps Script, or AI-assisted coding.
• Experience building AI agents or multi-step automated workflows.
• Exposure to video transcription, automated interviewing, or candidate assessment technologies.
• Experience with Zoho, Workable, or similar recruitment platforms.
• Familiarity with recruitment dashboards, automated reporting, and data visualization.
• Experience supporting international clients and offshore recruitment operations.
• Knowledge of POPIA, GDPR, and responsible AI practices in recruitment.

What Success Looks Like

• Recruitment teams spend less time on repetitive administrative tasks and more time engaging with quality candidates.
• High application volumes are managed more efficiently without compromising screening standards.
• AI-driven workflows are reliable, documented, measurable, and adopted by the team.
• Candidate communication and screening processes become faster and more consistent.
• Recruitment bottlenecks are identified and addressed through practical technology solutions.
• AI supports better recruitment decisions while human judgment remains central to candidate evaluation.

Who Will Thrive in This Role?

You’re naturally curious about technology and constantly looking for ways to improve how things work. You enjoy solving problems, experimenting with new tools, and building solutions rather than simply identifying what needs to change. You understand that successful recruitment automation requires more than technology alone. It requires a solid understanding of recruitment, candidate experience, client expectations, and the importance of human judgment.

If you’re a recruiter or sourcer who has developed strong automation skills—or a recruitment technology enthusiast with hands-on recruitment experience—and you’re excited to help shape the future of talent delivery, we’d love to hear from you.