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8 дней назад

Senior AI Enablement Engineer, People (AI)

166 000 - 214 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Enablement Engineer, People (AI): Building production-grade agentic workflows, RAG pipelines, and intelligent internal tools for the People function with an accent on AI reliability, sensitive data governance, and responsible deployment. Focus on combining Snowflake and unstructured data, evaluating accuracy and hallucination rates, implementing access controls, and translating ambiguous People needs into maintainable engineering systems.

Location: New York, New York; based in the New York City Office

Salary: $166,000–$214,000 per year

Company

hirify.global provides business and HR solutions that help companies manage operational and people-related needs.

What you will do

  • Drive the People team’s AI transformation roadmap by architecting, building, and maintaining intelligent solutions for operational workflows.
  • Build agentic workflows, RAG pipelines, system integrations, and AI-powered internal tools for production use.
  • Analyze the Snowflake data model and Workday-to-Snowflake pipeline to ensure AI systems can reliably consume structured and unstructured data.
  • Design evaluation frameworks for accuracy, latency, retrieval precision, hallucination rates, and user satisfaction.
  • Implement privacy controls, role-based access, PII handling, and audit trails for sensitive people data.
  • Partner with People, engineering, data, governance, and security stakeholders to deliver maintainable and responsible AI systems.

Requirements

  • 6+ years of professional hands-on builder or software engineering experience.
  • 2+ years of hands-on experience building production systems with LLMs and AI tooling.
  • Experience with agent frameworks, pipelines, retrieval systems, or AI-integrated workflows used by real users.
  • Familiarity with LLM observability tools such as LangSmith or Datadog LLM monitoring.
  • Experience with vector embeddings, Snowflake data, data retrieval, privacy standards, audit trails, and role-based permissions.
  • Strong communication skills and the ability to independently scope, sequence, and deliver work in ambiguous environments.

Nice to have

  • Familiarity with HR or People systems such as Workday or Greenhouse.

Culture & Benefits

  • Welcoming and casual work environment.
  • Benefits and wellness program offerings.
  • Company retreats and opportunities to interact with leaders in the startup community.
  • Culture centered on camaraderie, openness, grit, integrity, and simplicity.
  • Inclusive workplace with reasonable accommodation support.

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