обновлено 12 часов назад
AI Engineer (HR Tech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (HR Tech): Architecting and building agentic AI workflows for internal People Operations systems with an accent on Workday integration and production-grade automation. Focus on designing scalable, secure, and compliant multi-agent systems that streamline HR processes across a global organization.
Location: Must be based in United Kingdom, Argentina, Brazil, Canada, Cyprus, Czech Republic, Ireland, Lithuania, Mexico, Poland, Portugal, Romania, South Africa, Spain, Switzerland, or United Arab Emirates
Company
is a leading global crypto platform providing financial infrastructure and trading services to over 10 million users worldwide.
What you will do
- Architect and build agentic workflows using n8n, Claude API, and Python to automate HR processes.
- Develop multi-agent systems that integrate fragmented HR tools like Workday, ATS, and payroll systems.
- Implement robust error handling, audit trails, and human-in-the-loop checkpoints for production systems.
- Ensure all automations comply with data privacy regulations and PII handling requirements.
- Train People team members on AI-assisted tools and report on automation impact and efficiency gains.
Requirements
- 5+ years of software engineering experience, including 2+ years building AI/ML-powered or agentic systems in production.
- 2–3+ years of experience in HR, People Operations, or people technology.
- Deep working knowledge of Workday, including integrations and payroll dependencies.
- Proficiency with AI tooling stack: n8n, Python, and Claude API/Anthropic SDK.
- Strong understanding of employee data classification and cross-jurisdictional compliance.
- Ability to own the full lifecycle of a project from discovery to deployment.
Nice to have
- Experience with Workday Prism, Qualtrics, or Ashby.
- Background in HR technology platform administration.
- Experience in fintech, crypto, or high-growth remote-first environments.
- Quantitative degree (Industrial-Organizational Psychology, Mathematics, Statistics).
Culture & Benefits
- Work at the intersection of AI engineering and HR systems with high autonomy.
- Direct business impact on global internal infrastructure.
- Opportunity to work in a remote-first, globally distributed environment.
- Commitment to merit-based hiring and diverse perspectives.
Hiring process
- May include job-related skills or work-style assessments to evaluate competencies.
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