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6 дней назад

AI Data Engineer

165 000 - 185 000$
Формат работы
remote (только USA)
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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Описание вакансии

Текст:
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TL;DR
AI Data Engineer (AI/RAG): Building secure, retrieval-ready data integrations, pipelines, and libraries that power enterprise AI agents with an accent on custom APIs, ETL, document indexing, and data governance. Focus on optimizing RAG performance, reducing hallucinations, maintaining data freshness, and protecting sensitive information across business systems.

Location: US; remote-friendly environment

Annualized base salary: $165,000–$185,000

Company

hirify.global is a fintech company within the SAP group, helping businesses and suppliers access working capital through its global network.

What you will do

  • Build and maintain custom API connectors and ETL pipelines to expose core business data to AI tools.
  • Work with system owners to unlock siloed enterprise data and coordinate data readiness with AI teams.
  • Design and maintain pipelines for AI knowledge bases, including document chunking, tagging, indexing, and freshness controls.
  • Create and maintain an AI Data Library mapping enterprise data locations, schemas, and owners.
  • Identify and integrate dark data from PDFs, desktops, and other unstructured sources.
  • Implement automated data-quality checks and flag or exclude sensitive PII from general AI access.

Requirements

  • Experience integrating data with enterprise search engines, AI agents, or RAG-based systems.
  • Practical experience preparing data for large language models and agentic orchestration tools.
  • 5+ years of experience in data engineering, ETL development, or database management.
  • Strong experience building custom API connectors and data-ingestion scripts.
  • Experience with unstructured data, including text and documents, and NLP concepts.
  • Strong proficiency in SQL and Python.
  • Meticulous attention to data cleanliness, enterprise knowledge-management challenges, data-source auditing, and gap identification.
  • Strong communication skills for working with business owners on data access and cleanup.

Culture & Benefits

  • Inclusive and supportive work culture with flexible scheduling and a remote-friendly environment.
  • Medical, dental, vision, and life insurance coverage.
  • PTO, sick leave, bereavement leave, and global parental leave.
  • Company-issued equipment, including a laptop and monitor.
  • 401(k) with company match, career development opportunities, and an employee assistance and mental-health advocacy program.

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