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9 дней назад

Talent Engineer (AI)

111 000 - 175 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Talent Engineer (AI): Building integrations, governed talent data infrastructure, and AI-powered agentic workflows across the hiring lifecycle with an accent on system automation, permissions, and talent intelligence. Focus on connecting Workday, Greenhouse, Gem, and BrightHire, designing LLM-powered tools, and measuring sourcing and offer effectiveness through structured experimentation.

Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco, United States

Annual salary: $111,000–$175,000 USD

Company

hirify.global develops AI-powered revenue intelligence products that help companies understand teams and customers, automate sales workflows, and improve deal execution.

What you will do

  • Build a 0-to-1 talent engineering function centered on automation, integrations, and AI-powered workflows.
  • Integrate Workday, Greenhouse, Gem, and BrightHire into a governed talent data layer.
  • Develop agentic solutions for pipeline visibility, workflow bottlenecks, candidate rediscovery, interview quality, offer risk, and recruiter capacity.
  • Build conversational tools that allow talent leaders and hiring managers to self-serve recruiting data.
  • Design experiments for outbound sourcing and offer effectiveness, monitoring response, interest, and acceptance rates.
  • Partner with People Analytics, HRIS, IT, and the central AI development team on governance, architecture, and build-versus-buy decisions.

Requirements

  • Production experience integrating external systems through APIs, OAuth, webhooks, rate-limit handling, and error management.
  • Strong scripting or backend skills in Python or TypeScript/Node.
  • Proficiency with SQL and querying data across multiple systems.
  • Hands-on experience with LLM APIs and tool or function-calling patterns.
  • Understanding of permissions and access-control design.
  • Experience designing and analyzing structured A/B or multivariate experiments, plus the ability to work effectively in an ambiguous 0-to-1 environment.

Nice to have

  • Experience with MCP (Model Context Protocol).
  • Background in analytics engineering, automation engineering, or solutions engineering.
  • Familiarity with Greenhouse, Workday, Gem, BrightHire, or similar recruiting systems.
  • Recruiting or Talent Acquisition experience.

Culture & Benefits

  • Medical, dental, and vision plans for employees and families.
  • Wellbeing fund, mental health benefits, and education and learning stipend.
  • Flexible vacation time, paid parental leave, and quarterly company recharge days.
  • 401(k) program and work-from-home stipend.
  • Technical mentorship and architectural review through the central AI development team.

Hiring process

  • Prepare to present two or three systems built, including the problem, design, and measurable results.
  • Diagrams, repositories, and before-and-after metrics are valued in the evaluation.

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