AI/LLM HR EXECUTIVE (CAMPUS LATERAL HIRING MUST)
Mindtel Verified employer
Actively hiring · Posted 8d ago · JEV26100204C7E491
Job description
About the Opportunity
A fast-scaling AI-driven HR tech firm in the Future of Work sector, we deploy generative AI and large language models to automate and optimize end-to-end talent acquisitionfrom campus pipelines to lateral leadership hires. Our platform powers smart sourcing, bias-free screening, and predictive hiring for enterprise clients across Asia and the US. Were looking for an AI-savvy HR Executive who thrives at the intersection of talent, tech, and execution.
Role & Responsibilities
Design and execute end-to-end campus hiring cycles across engineering, data science, and product tracks using AI-assisted workflows and LLM-powered screening tools.
Source, engage, and convert lateral hires for mid-to-senior roles (Tech, Product, GTM) using AI-driven Boolean, LinkedIn Recruiter, and talent-matching platforms.
Partner with hiring managers to define role-specific AI screening parameters, interview rubrics, and candidate success signals.
Optimize hiring funnels using real-time LLM analyticstracking drop-offs, offer acceptance rates, and time-to-hire KPIs.
Train and onboard recruiters on AI-powered ATS tools, resume parsing engines, and candidate chatbot interfaces.
Run A/B tests on job descriptions, outreach scripts, and interview flows using generative AI to boost conversion rates by 20%+.
Skills & Qualifications
Must-Have
LinkedIn Recruiter
ATS (Greenhouse, Lever, Workday)
Boolean Search
LLM Interview Scripting Tools
AI-Powered Sourcing Platforms
HR Analytics Dashboards
Hiring Funnel Optimization
Generative AI Prompt Engineering
Preferred
Experience with HR Tech Startups
Campus Hiring Program Management
Python for HR Automation (basic)
Benefits & Culture Highlights
Work with AI-native hiring tools and influence product roadmap with engineering teams.
Accelerated growth path: from Executive Manager AI Talent Lead in 18 months.
Hybrid culture: On-site core team days, flexible scheduling, and AI-driven performance reviews. .
Key skills
How to apply
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