We are seeking an experienced Software Engineer – Knowledge Graph / Places Data to join a fast-growing AI company building an innovative local commerce platform.
About the Role
We are seeking an experienced Software Engineer – Knowledge Graph / Places Data to join a fast-growing AI company building an innovative local commerce platform.
You will play a key role in developing large-scale knowledge graphs, integrating multi-source business data, and building the data infrastructure that powers local search, discovery, and matching.
Key Responsibilities
- Design, build, and scale knowledge graph and POI (Point of Interest) data systems.
- Develop entity resolution and entity linking solutions 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 capabilities.
Required Qualifications
- 4+ years of professional software engineering experience.
- Hands-on experience 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.
Preferred Qualifications
- Previous experience with mapping platforms, location intelligence, local search, or merchant data systems.
- Experience with geospatial data processing.
- Background in large-scale knowledge graphs or business listing data-quality systems.
- Experience at major mapping, navigation, search, or local commerce technology companies is a plus.
Why Join?
- Work on an innovative AI-powered local commerce platform.
- Build core knowledge graph infrastructure from the ground up.
- Solve complex data engineering challenges involving real-world entities and large-scale datasets.
- Collaborate with an experienced engineering team in a growing technology company.