Lead People Systems Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead People Systems Engineer (AI): Designing and implementing AI-powered workflows and agents to transform the employee lifecycle with an accent on LLM orchestration, system architecture, and SaaS integration. Focus on building 0→1 AI systems, developing copilots for People teams, and ensuring responsible AI governance.
Location: Must be based in the United States (various geographic markets)
Company
is an AI-first company that empowers creators to own their destiny by making first-party data accessible and actionable for ecommerce and beyond.
What you will do
- Reimagine core People workflows including recruiting, onboarding, and performance management through an AI-first lens.
- Design and build AI-powered workflows, copilots, and agents to automate and augment People processes.
- Architect and implement system integrations across SaaS platforms such as Workday, Greenhouse, and Sana.
- Establish best practices for prompt engineering, LLM system design, versioning, security, and observability.
- Partner with Security, Legal, and Global IT to ensure compliant, ethical, and responsible AI deployment.
- Translate ambiguous business problems into scalable technical AI solutions to drive operational effectiveness.
Requirements
- 7+ years of engineering or data engineering experience.
- 2+ years of experience building AI/ML or LLM-powered systems that deliver tangible business outcomes.
- Proficiency in Python, SQL, and modern APIs.
- Experience with LLM platforms (OpenAI, Claude, Gemini) and frameworks like LangChain and LangGraph.
- Proven ability to set technical direction and build 0→1 systems with organizational impact.
- Must be based in the United States.
Nice to have
- Experience with People/HR systems such as Workday, Greenhouse, or Sana.
- Familiarity with workflow automation platforms like n8n, Workato, or Zapier.
- Experience working in high-growth SaaS environments.
- Contributions to AI governance or internal AI experimentation frameworks.
Culture & Benefits
- Comprehensive health, welfare, and wellbeing benefits.
- Participation in the company’s annual cash bonus plan and equity options.
- Inclusive workplace culture that values unique backgrounds and experiences.
- Environment focused on empowerment, AI fluency, and professional growth.
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