LGND AI, Inc.

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👥 1001-5000💰 $410,000,000 Series F almost 4 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

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Jobs at this company:

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🔥 Full Stack Software Engineer

Posted 3 days ago

📍 United States, Denmark

🔍 Software Development

🔧 Requirements

Deep experience with React, including component architecture, state management, and styling frameworks.
Familiarity with Mapbox, Leaflet, or other map tile or rendering libraries.
Working knowledge of Python, especially for integrating with APIs or writing lightweight backend logic.
Comfortable working with RESTful APIs, JSON payloads, and asynchronous calls.
Some experience with relational databases like PostgreSQL or MySQL.
Ability to quickly prototype, test, and revise interfaces with minimal supervision.
Comfort with version control workflows and basic CI/CD tooling (e.g., GitHub Actions).

💡 Responsibilities

Rapid Prototyping: Take ideas from whiteboard to working demo in days — not weeks. Build and iterate on new products and features using lightweight frontends and LGND’s backend APIs.
Frontend Development: Build rich, spatially aware interfaces using React, including map-based UIs (e.g., Mapbox), data visualizations, and lightweight dashboards.
API Integration: Work almost entirely against APIs, integrating LGND’s services and MCP servers, as well as third-party geospatial services.
Backend Collaboration: Write or modify small backend components using Python, especially for internal tooling or lightweight extensions to our existing APIs.
Infrastructure-Aware UI: Build frontends that are responsive to real-world compute and data infrastructure constraints — particularly when working with large spatial datasets or ML workflows.
UX Experimentation: Help evaluate UX for interacting with embeddings, vector search results, and spatial metadata. Propose new patterns where needed.
Cross-functional Collaboration: Work alongside AI engineers, backend developers, product leads, and researchers to translate technical workflows into intuitive interfaces.
Speed & Flexibility: Adapt quickly in a fast-moving startup environment where priorities evolve and experimentation is encouraged.

PostgreSQLPythonFrontend DevelopmentFull Stack DevelopmentGitMachine LearningReact.jsAPI testingReactCI/CDRESTful APIsJSONData visualization

Posted 3 days ago

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🔥 Lead Data Engineer

Posted 22 days ago

📍 United States, Canada

🧭 Full-Time

🔍 Geospatial AI infrastructure

🔧 Requirements

Proficiency in Python
Expertise in building production-grade data pipelines at scale
Familiarity with tools and frameworks like geospatial libraries, machine learning frameworks, cloud integration, and database management

💡 Responsibilities

Develop a scalable, efficient pipeline to generate geospatial embeddings based on user input
Work closely with front-end engineers to ensure seamless integration of the pipeline into a user-friendly web application
Collaborate with leadership to determine which components of the pipeline and storage system should remain proprietary versus open-source

AWSDockerPostgreSQLPythonCloud ComputingETLKafkaMachine LearningNumpyPyTorchAlgorithmsData engineeringData StructuresREST APIPandasSparkCI/CDRESTful APIsScalaData modelingSoftware Engineering

Posted 22 days ago

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