Software Engineer – Knowledge Graph / Places Data

About this role

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.