Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$165к-185к/год
$170к$200кмедиана$240к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.8к/мес ($3.3к - $4.8к)
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Роль чётко сосредоточена на AI-инженерии данных в известной финтех-компании в составе SAP, с понятными задачами по RAG и LLM; удалённый формат доступен только из США.
Только США
Понятные задачи
Работа с AI
Крупный финтех
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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