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14 часов назад

Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate) (AI)

110 000 - 150 000$
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
Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate) (AI): Building and maintaining healthcare AI context data capabilities, including ingestion, embeddings, vector indexing, retrieval services, and semantic layers with an accent on production-grade pipelines, governed data products, and AI safety. Focus on improving retrieval quality, optimizing latency and cost, and implementing security controls for sensitive healthcare data.

Location: Remote role associated with Chicago, United States; travel may be required up to four times per year.

Salary: $110,000–$150,000 USD base annually; total estimated compensation including annual incentive compensation: $123,200–$177,000 USD.

Company

hirify.global helps healthcare organizations improve performance, clinical outcomes, innovation, and consumer and stakeholder engagement.

What you will do

  • Build end-to-end AI context pipelines covering ingestion, parsing, chunking, enrichment, embeddings, vector indexing, and retrieval.
  • Develop incremental refresh, backfill, re-embedding, deduplication, and data lineage patterns for unstructured sources.
  • Implement semantic layers, data contracts, and context contracts that support BI and agent reasoning.
  • Improve retrieval quality through query strategies, hybrid search, metadata filtering, and related retrieval patterns.
  • Support monitoring, alerting, runbooks, incident response, and cost and latency optimization across data and vector infrastructure.
  • Apply security and compliance controls including RBAC/ABAC, PII redaction, retention controls, audit logging, and AI access guardrails.

Requirements

  • BA or BS required, preferably in Computer Science, Engineering, or a technology-based discipline.
  • 3–6 years of experience in data engineering or data platform roles with strong hands-on delivery.
  • Strong SQL and Python, or Scala/Java, with solid production engineering practices.
  • Experience designing and operating cloud data pipelines at scale.
  • Experience with unstructured data processing and search or retrieval concepts.
  • Ability to communicate clearly and collaborate across technical and functional teams.

Nice to have

  • Experience with vector search, embeddings, pgvector, Pinecone, Weaviate, OpenSearch, or Elastic.
  • Experience with semantic retrieval, hybrid search, reranking, RAG, agent tool interfaces, or LLM evaluation and observability.
  • Familiarity with knowledge graphs, semantic modeling, metrics layers, regulated environments, or data governance programs.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Wellness programs and participation in benefit plans.
  • Annual incentive compensation program based on performance.
  • Work includes collaboration with engineers, consultants, functional partners, and healthcare subject-matter experts.

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