Knowledge Graph Engineer – POI & Local Data AI

Glint Tech Solutions LLC; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Glint Tech Solutions LLC in Mountain View, CA, is seeking an experienced Software Engineer – Knowledge Graph / Places Data to join our AI-driven local commerce platform.

You will design, build, and scale knowledge graph and POI data systems, implement entity resolution and linking, and develop ETL pipelines across multi-source data. Collaborate with AI and engineering teams to enhance search, discovery, and matching capabilities and shape core data infrastructure.

Qualifications

• 4+ years of professional software engineering experience.
• Hands-on with Knowledge Graphs, POI/Places Data, or large-scale entity data systems.
• Strong experience in Entity Resolution, Entity Linking, or multi-source data fusion.
• Experience designing ontologies, schemas, and scalable data architectures.
• Solid understanding of data engineering, ETL pipelines, and large-scale data processing.
• Ability to design and operate scalable graph-based systems.

Responsibilities

• Design, build, and scale knowledge graph and POI data systems.
• Develop entity resolution and entity linking across multiple data sources.
• Build data pipelines to integrate, clean, and maintain large-scale business and location data.
• Design ontologies and schemas for real-world entities and their relationships.
• Improve data quality, accuracy, and consistency across merchant and business listings.
• Collaborate with engineering and AI teams to support search, discovery, and matching.

Skills

Knowledge Graphs

POI / Places Data

Entity Resolution

Entity Linking

Data Pipelines

ETL Pipelines

Data Architectures

Job description

Glint Tech Solutions LLC in Mountain View, CA, is seeking an experienced Software Engineer – Knowledge Graph / Places Data to join our AI-driven local commerce platform.

You will design, build, and scale knowledge graph and POI data systems, implement entity resolution and linking, and develop ETL pipelines across multi-source data. Collaborate with AI and engineering teams to enhance search, discovery, and matching capabilities and shape core data infrastructure.