Software Engineer – Knowledge Graph / Places Data

Glint Tech Solutions

  • Mountain View, California
  • 6 days ago

    Highlights

    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. We are seeking an experienced Software Engineer – Knowledge Graph / Places Data to join a fast-growing AI company building an innovative local commerce platform.

    Numbers & Facts

    LocationMountain View, California
    Websitehttps://www.glinttechsolutions.com

    Description

    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.

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