Tech Stack

Description

You will work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. You will contextualize organizational data by building the enterprise knowledge graph, integrating structured and unstructured datasets, designing ontologies, enforcing data quality, and developing AI agents and LLM pipelines to automate knowledge extraction and engineering workflows.

Requirements

• 5+ years of experience in knowledge engineering, data engineering, or backend development
• Deep understanding of W3C knowledge engineering standards (RDF, SPARQL, OWL, SHACL)
• Proven experience with Master Data Management (MDM) and complex entity resolution
• Strong proficiency in database systems, indexing, and query optimization
• Applied knowledge of ontology engineering methodologies

Responsibilities

• Integrate structured and unstructured datasets into the enterprise knowledge graph
• Design and expand the core ontologies underpinning the graph architecture
• Enforce data quality and consistency across the graph using SHACL shapes and validation metrics
• Drive accurate entity resolution using methodologies and dedicated tooling
• Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows