Senior Knowledge Graph Engineer
Location : On-site in California - relocation assistance available
The Opportunity
A stealth-mode, venture-backed AI company in the built-world space is turning mountains of construction drawings, 3-D models, documents, and sensor data into real-time decisions. Their platform blends graph technology, vector search, and agent-based reasoning to eliminate weeks of manual pre-construction effort. As the Senior Knowledge Graph Engineer, you will be the technical owner for everything graph-related - from schema evolution to production query performance - and shape how hundreds of terabytes of multimodal data are transformed into powerful knowledge flows.
Compensation & Growth
- Competitive base salary, with flexibility for exceptional talent.
- Meaningful employee-equity allocation.
- Full medical, dental, vision, and an annual learning stipend.
- Clear path to Staff Engineer or future leadership as the graph team grows.
What You'll Tackle
Architect, implement, and harden the company's core knowledge graph, including node and relationship design, ingestion pipelines, and entity resolution.Build and tune graph-data infrastructure that scales across millions of construction drawings, images, and text documents while supporting low-latency traversal and reasoning.Marry graph search with vector embeddings and retrieval-augmented generation pipelines, enabling agents to answer complex domain questions in seconds.Define and monitor metrics for ingestion speed, query performance, and recommendation accuracy, feeding the results into an internal EVAL framework for continuous improvement.Partner daily with ML, computer-vision, and product teams to translate real construction workflows into graph models the platform can reason over.Mentor fellow engineers on graph best practices and represent the graph pillar in client demos and investor milestones.What You Bring
10+ years designing and operating production knowledge graphs or large-scale graph databases (Neo4j, TigerGraph, JanusGraph, AWS Neptune, etc.).Fluency in Python, Java, or Scala and deep knowledge of Cypher, Gremlin, or similar query languages.A track record of integrating graph data with LLM embeddings, vector search, or Graph-RAG style solutions.Experience ingesting heterogeneous data (documents, 2-D / 3-D drawings, images) and performing entity linking at scale.Comfort thriving in an early-stage, high-ownership startup : shipping quickly, wearing multiple hats, and joining client calls when needed.U.S. citizenship or permanent residency (TN visas also welcome).Bonus Points
Prior exposure to construction tech, AEC workflows, or industrial AI.Computer-vision or 2-D → 3-D imaging experience.Multilingual data pipelines and ontologies.Work Environment & Culture
On-site collaboration two days per week in a newly renovated workspace, alongside founders with proven track records in cloud AI, autonomous vehicles, and large-scale data systems.Fast, no-red-tape decision making, direct access to executives, and the chance to stand up a graph practice from scratch.About Blue Signal :
Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly / 46Gs4yS