обновлено 3 дня назад
Principal, AI Engineering
134 400 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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