Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$166к-214к/год
$190к$220кмедиана$260к
По похожим ролям (50) ~ $220к/год
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Крутая вакансия
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Здесь понятная ответственность за полный цикл разработки, production-задачи с ИИ и серьезный фокус на надежности и приватности; главный компромисс - работа только из офиса в Нью-Йорке.
Только офис
Современный ИИ-стек
Ответственность за результат
?Работа с данными сотрудников
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer, People (AI/HRTech): Building production-grade AI tools, agentic workflows, RAG pipelines, and system integrations for People operations with an accent on sensitive workforce data, reliability, and responsible deployment. Focus on combining Snowflake and unstructured data, evaluating retrieval and hallucination performance, and implementing privacy, access controls, and auditability.
Location: New York, New York; based in the New York City Office
Base wage: $166,000–$214,000 per year
Company
hirify.global helps businesses manage HR issues and focus on running their businesses through a data-driven product.
What you will do
Drive the People team’s AI transformation roadmap by architecting, building, and maintaining intelligent operational workflows.
Build agentic workflows, RAG pipelines, and integrations that scale from human-AI handoffs to AI-driven systems.
Analyze Snowflake data models and Workday-to-Snowflake pipelines to ensure reliable AI use of 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, audit trails, and responsible AI practices for workforce data.
Partner with People, engineering, data, governance, and security stakeholders to deliver maintainable, enterprise-grade systems.
Requirements
6+ years of professional, hands-on builder or software engineering experience.
2+ years of hands-on production experience building with LLMs and AI tooling, including agent frameworks, pipelines, retrieval systems, or AI-integrated workflows used by real users.
Familiarity with LLM observability tooling such as LangSmith, Datadog LLM monitoring, or equivalent.
Systems-level understanding of data retrieval, vector embeddings, and combining structured data such as Snowflake tables with unstructured text.
Strong knowledge of data privacy standards, audit trails, role-based permissions, and access controls for confidential datasets.
Strong communication skills for presenting technical options, trade-offs, and progress to non-technical stakeholders.
Ability to work independently in ambiguous, greenfield environments, define scope, sequence work, and drive projects to production.
Nice to have
Familiarity with HR or People systems such as Workday or Greenhouse.
Culture & Benefits
Welcoming, casual, supportive, and entrepreneurial work environment.
Benefits, wellness program offerings, and company retreats.
Opportunities to interact with and learn from leaders in the startup community.
Values emphasize camaraderie, openness, grit, integrity, and simplicity.
Inclusive workplace with reasonable accommodations for disability, religious beliefs, and other covered reasons.
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