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1 час назад

Senior AI Engineer (Unstructured AI)

204 000 - 255 000$
Формат работы
hybrid
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

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TL;DR
Senior AI Engineer (Unstructured AI) (Python/LLM): Building and scaling production systems that ingest, process, and enrich large volumes of unstructured enterprise content with an accent on document AI, data pipelines, and context engineering. Focus on integrating enterprise data sources, tuning large-scale Spark processing, designing reliable microservices, and delivering accurate AI results under ambiguity.

Location: New York, New York, USA; hybrid role requiring work from the New York office at least two days each week.

Salary: $204,000–$255,000 per year. No additional commission-based compensation.

Company

hirify.global develops data intelligence products that help enterprises organize, govern, and use their data and AI capabilities.

What you will do

  • Build and scale full-stack systems for ingesting, processing, and enriching PDFs, contracts, reports, and other unstructured enterprise content.
  • Own end-to-end technical delivery from feature prototypes through stable production systems across enterprise environments.
  • Write and review production-grade backend services using Python and FastAPI.
  • Integrate SharePoint, Salesforce, internal APIs, and SaaS knowledge bases to provide context for AI features.
  • Develop and deploy document-processing systems for large-scale data environments.
  • Collaborate with engineering, product, and sales teams from prototype through rollout.

Requirements

  • Strong proficiency in Python for data processing, API development, and integrations.
  • Hands-on experience with LLM-based and AI-driven enrichment models, including classification, entity extraction, deduplication, and PII detection.
  • Production experience with Spark or comparable big data frameworks, including tuning and debugging jobs at scale.
  • Experience with data pipelines, microservice architecture, API design, metadata systems, data cataloging, document AI workflows, model evaluation, and search relevance.
  • Experience defining and shipping an MVP for a vaguely scoped problem, including setting assumptions and acceptance criteria independently.
  • Bachelor’s degree or equivalent related work experience required. This position is not eligible for visa sponsorship.

Nice to have

  • Experience with modern frontend development.

Culture & Benefits

  • Hybrid collaboration with regular office work in New York.
  • Competitive compensation with bonus potential and equity for eligible roles.
  • Flex Fund monthly stipend, pension or 401(k) plans, health coverage, and paid time off.
  • Flexible benefits designed to support different personal needs and life events.
  • Inclusive workplace focused on belonging, clear communication, and employee support.

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