Senior AI Data Engineer: Semantic Graphs & LLM Pipelines

COMPLY; York (NE); On-site; USD 100,000 - 130,000; Full time

Job summary

Medium is seeking a Senior AI Data Engineer to implement and operationalize the semantic layer, transforming ontological models into knowledge graphs and AI-powered pipelines. This hands-on role involves collaborating closely with data engineering teams and ensuring AI-ready data products are efficient and reliable.

The ideal candidate will have extensive experience in data engineering, particularly around semantic infrastructure. Knowledge of graph databases and a strong command of Python are essential. This is an exciting opportunity to contribute to innovative AI capabilities.

Qualifications

• Strong hands-on experience in data engineering, focusing on semantic or AI data infrastructure.
• Experience building and operating knowledge graphs or graph databases.
• Strong Python skills and experience with data pipeline frameworks.

Responsibilities

• Implement JSON-LD-based semantic models into production data systems.
• Build and maintain knowledge graph structures reflecting canonical domain models.
• Ensure semantic consistency between ontology definitions and downstream data products.

Skills

Data engineering

Knowledge graphs

Graph databases

Vector databases

Python

Cloud platforms

Tools

Neo4j

Pinecone

AWS

Job description

Medium is seeking a Senior AI Data Engineer to implement and operationalize the semantic layer, transforming ontological models into knowledge graphs and AI-powered pipelines. This hands-on role involves collaborating closely with data engineering teams and ensuring AI-ready data products are efficient and reliable.

The ideal candidate will have extensive experience in data engineering, particularly around semantic infrastructure. Knowledge of graph databases and a strong command of Python are essential. This is an exciting opportunity to contribute to innovative AI capabilities.