Knowledge Graph Architect for AI‑driven Construction

Neuron Factory; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A tech-driven construction consultancy in San Francisco is seeking a Graph Engineer to design and build knowledge graphs for analyzing complex construction project documentation. The role involves translating unstructured documents into a structured queryable format, requiring deep experience in graph databases like Neo4j. Candidates should be proficient in Python and have a strong understanding of graph modeling, ontology design, and related technologies. Join at a pivotal moment as the company transforms collaboration for large-scale construction projects.

Qualifications

• Experience designing a knowledge graph in a complex domain.
• Production experience with graph databases and query optimization.
• Understanding of ontology design and trade-offs.

Responsibilities

• Architect and build the knowledge graph for construction projects.
• Transform unstructured documentation into a queryable structure.

Skills

Graph-first thinking

Deep graph database experience

Ontology design

RAG foundations

Strong engineering fundamentals

Tools

Neo4j

AWS

Job description

A tech-driven construction consultancy in San Francisco is seeking a Graph Engineer to design and build knowledge graphs for analyzing complex construction project documentation. The role involves translating unstructured documents into a structured queryable format, requiring deep experience in graph databases like Neo4j. Candidates should be proficient in Python and have a strong understanding of graph modeling, ontology design, and related technologies. Join at a pivotal moment as the company transforms collaboration for large-scale construction projects.