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Principal, AI Engineering

134 400 - 185 000$
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
Principal, AI Engineering (GCP/Document AI): Building scalable generative AI and agentic document-processing pipelines for massive volumes of unstructured property documents with an accent on Google Document AI, Gemini LLMs, data engineering, and enterprise architecture. Focus on designing human-in-the-loop extraction workflows, optimizing model precision and recall, and leading architecture across complex enterprise data systems.

Location: Dallas, TX, United States

Annual pay range: $134,400–$185,000

Company

hirify.global provides property intelligence and technology solutions across the global property ecosystem.

What you will do

  • Design and implement scalable Document AI extraction pipelines using Google Document AI Custom Extractors, Classifiers, and Splitters.
  • Build reliable human-in-the-loop fallback workflows for enterprise document processing.
  • Translate business requirements into technical designs aligned with enterprise architecture standards and technology strategy.
  • Develop and present solution architecture, technical designs, and requirements to technical and non-technical stakeholders.
  • Assess downstream architectural impacts, governance requirements, and emerging technology solutions.
  • Provide technical leadership, mentor junior engineers, and support complex issue resolution and project governance.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent experience.
  • 7+ years of IT experience with Gen AI/Agentic AI, Document Image extraction, data architecture, Kubernetes/GKE, and continuous improvement.
  • Deep experience with Google Document AI, including Form Parser, Custom Document Extractors, model training and tuning, and precision/recall optimization.
  • Strong knowledge of machine learning, prompt engineering, multi-agent orchestration, RAG, model governance, token optimization, and the Gen AI/ML application lifecycle.
  • Hands-on expertise with GCP, Python, PySpark, SQL and NoSQL technologies, data modeling, BigQuery, Postgres, Spark, Dataflow, Apache Beam, and Apache Airflow.
  • Experience with enterprise application and data architecture, governance, standards, strategic roadmaps, and complex stakeholder collaboration.

Nice to have

  • AWS or Azure experience.
  • Real estate, mortgage, finance, or insurance domain knowledge.
  • Experience with Neo4j, event-driven architecture, streaming frameworks, Kafka, Hadoop, or Elasticsearch.

Culture & Benefits

  • Flexible working model, competitive paid time off, and 11 paid holidays.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Multiple medical plan options with mental health and wellness support.
  • 401(k) with company match and vesting after one year.
  • $400 annual well-being stipend, tuition assistance up to $5,250, recognition rewards, referral bonuses, and discounts.

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