About this opportunity
LGND AI, Inc. lists this Full Stack Software Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About LGND
LGND is an early-stage startup revolutionizing geospatial AI infrastructure. We bridge the gap between large Earth observation models and specific application developers, enabling intuitive interaction with geospatial data. Our core mission is to empower decision-makers with rapid insights from vast, complex datasets. As part of our small, dynamic team, you will play a foundational role in building tools that have never existed before.
Role Summary
We\'re looking for a creative and energetic Full Stack Software Engineer to join our founding product team. In this role, you\'ll take early-stage ideas and rapidly turn them into functional, interactive demos that showcase the potential of our platform. You\'ll work primarily in React and Python, interfacing with LGND\'s APIs, geospatial services, and large-scale AI frameworks — including emerging protocols like Model Context Protocol (MCP).
This is a fast-moving, experimental role designed to help us quickly validate features and use cases. You\'ll work closely with product and research leads, build lightweight interfaces to our backend infrastructure, and prototype interactions that bring geospatial data and AI results to life — especially through mapping and spatial UI.
This role is ideal for someone who thrives in ambiguity, ships quickly, and has a strong eye for product potential. It\'s a unique opportunity to help define and shape the frontend of an AI-native geospatial platform before we scale a broader engineering and design team.
This is a hybrid role, with a preference for candidates based in New York, San Francisco Bay Area, or Copenhagen. Remote work is also a possibility.
Key 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
Scope of Work: First 3 Months
Build an interactive map-based UI to demo a new geospatial search capability powered by LGND\'s vector search API
Prototype an exploration interface that allows users to define an area of interest, select a model, and query MCP-based search results
Help build the internal playground for evaluating embeddings and vector comparisons across different model outputs
Integrate Mapbox maps and other geospatial layers into demo frontends for live user testing
Collaborate with backend and research teams to refine UI/API contracts and suggest frontend-side enhancements
Requirements
Required Technical Skills
Frontend Expertise: Deep experience with React, including component architecture, state management, and styling frameworks
Mapping Libraries: Familiarity with Mapbox, Leaflet, or other map tile or rendering libraries. Backend Fluency: Working knowledge of Python, especially for integrating with APIs or writing lightweight backend logic
API Integration: Comfortable working with RESTful APIs, JSON payloads, and asynchronous calls
Database Experience: Some experience with relational databases like PostgreSQL or MySQL
Rapid Iteration: Ability to quickly prototype, test, and revise interfaces with minimal supervision
Git & CI/CD: Comfort with version control workflows and basic CI/CD tooling (e.g., GitHub Actions)
AI/ML Curiosity: Interest in AI/ML systems, particularly geospatial foundation models and vector embeddings (no prior experience required)
Note: Even if you don\'t fulfill all the criteria, you are encouraged to apply. We welcome applicants from diverse backgrounds and nontraditional paths.
Preferred Experience
Prior experience in early-stage startups or prototyping environments
Exposure to geospatial data and formats (GeoJSON, tilesets, raster data)
Familiarity with Model Context Protocol or retrieval-augmented generation workflows
Experience with visualizing model outputs, embeddings, or ML metrics in frontend apps
Comfort designing UIs for non-technical users or analysts
Non-technical Skills
Self-Starter: Comfortable taking initiative, scoping work independently, and managing ambiguity
Creative & Curious: Enjoys experimenting with new interfaces and technologies
Product-Oriented: Focused on end-user experience and delivering usable value quickly
Collaborative: Works well across technical and non-technical stakeholders
Flexible & Adaptable: Thrives in environments with competing priorities and shifting context
Benefits
Benefits & Cultural Values
At LGND, we prize:
Humility: Value collaboration and learning from others
Integrity: Uphold honesty and transparency
Effectiveness: Focus on what works and deliver results
Competitive salary based on experience and location
Equity options in a high-growth early-stage startup
Health care and 401k
Flexible work arrangements (hybrid/remote)
Opportunity to shape LGND\'s technology and company culture
Work on cutting-edge problems in geospatial AI with real-world impact
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.