Forward Deployed Engineer - GenAI & Geospatial

MapAI is building a new way for organisations to turn complex spatial data into trusted, actionable answers. Our GenAI-powered geospatial intelligence platform lets enterprise users ask location-based questions in natural language and receive transparent, explainable insights in seconds.

We are looking for a Forward Deployed Engineer to work at the frontier of Generative AI, geospatial engineering and production software. You will partner directly with customers to turn difficult real-world problems into working solutions while helping shape the reusable product capabilities behind them.

This is a rare opportunity to build with cutting-edge AI, work with meaningful spatial data, and have a direct hand in how MapAI grows.

Qualifications

Essential

• Strong software engineering experience, ideally with Python and modern APIs, data systems or cloud applications
• Hands-on experience building Generative AI applications, including LLMs, RAG, agentic workflows and evaluation systems
• Practical geospatial engineering or GIS experience, including spatial data, analysis and databases
• Ability to work across ambiguity: understand a customer problem, design a solution and deliver it
• Clear, confident communication with both technical and non-technical stakeholders

Optional

• Experience with PostGIS, GDAL/OGR, ArcGIS, QGIS, GeoServer, OpenStreetMap, raster or vector data
• Experience with cloud platforms, Docker, Kubernetes, TypeScript or React
• Experience integrating enterprise systems, APIs and data pipelines

Desirable

• Experience in government, planning, utilities, logistics, disaster management, environmental services or other spatial-data-intensive sectors
• Experience in a startup, consulting, solutions engineering or customer-facing technical role
• A track record of moving pilots into robust, production-ready systems
• Curiosity, product instinct and a bias for building reusable solutions over one-off custom work
• Familiarity with vector databases, multimodal AI, satellite imagery, LiDAR or IoT data

Responsibilities

1. Build and improve Generative AI applications that turn natural-language questions into trustworthy spatial queries, analysis, reports and recommendations, including RAG, agentic and evaluation workflows across maps, reports, documents and geospatial databases.
2. Integrate MapAI with customer environments, APIs, cloud services, GIS platforms and enterprise systems, helping ensure solutions are secure, reliable, scalable and ready for real-world use.
3. Rapidly design and build prototypes, integrations and workflows for strategic customers, demonstrating how Generative AI can automate spatial analysis and unlock better location-based decisions.
4. Create a strong feedback loop between customers, product and engineering: identify gaps, surface recurring needs and turn customer learnings into reusable MapAI product capabilities.
5. Serve as a trusted customer-facing technical partner, understanding each customer’s data, workflows and highest-value challenges, then translating complex business needs into practical technical solutions.
6. Engineer robust geospatial data pipelines that connect, prepare and make spatial and temporal data - including GIS, enterprise, imagery and related sources - usable in AI-powered workflows.

What Success Looks Like

• Gets customers from promising use case to valuable production outcome quickly
• Combines deep technical judgement with an instinct for customer value
• Builds reusable solutions that strengthen the core product, not just one-off customisations
• Makes complex geospatial data easier for people across an organisation to understand and use
• Helps MapAI earn customer trust through reliable, transparent and explainable AI
• Influences the product roadmap with sharp, grounded insight from real deployments

Contact

To apply email Sign in to view email with your CV and a short note on why this role interests you. Learn more at https://mapai.net