We are looking for an AI Solutions Engineer to develop and integrate AI capabilities into our next-generation 3D geospatial products. This role combines prompt engineering, integration between LLMs and GenAI libraries or services with our applications, and the definition of MCPs or other APIs that will evolve into core product features.

You will work with the product team, full-stack developers, GIS specialists, 3D specialists, and data analysts to design and implement AI-driven tools that power automations, generate new content and provide intelligent insights.

Responsibilities:

Work with our product team, data analysts, and full-stack developers, to design and implement the following:

• Integrate LLMs in our app, applying prompt engineering techniques and multi-step reasoning processes.
• Integrate GenAI services within our workflows and features, such as SAM 3D, Veo, fVDB, Omniverse tools and more.
• Design and implement MCPs for those.
• Collaborate with developers to embed your features into production.
• Support light DevOps tasks related to deploying and configuring AI services and model infrastructure.
• Research and evaluate new tools and libraries for use in future product features.

Requirements:

• 1–2 years of hands-on experience in AI/ML development or AI-powered applications.
• Knowledge of LLMs, GenAI, and prompt engineering.
• Experience building AI-driven tools, chatbots, or RAG-based systems.
• Proficiency in Python and familiarity with databases.
• Basic experience with cloud services, model deployment, or server configuration.
• Ability to work collaboratively with product, data, GIS, and 3D teams.
• Advantage: background or interest in GIS, 3D graphics, architecture, or urban planning.

Nice to Have:

• Experience or familiarity with Unreal Engine, Revit/BIM pipelines, or 3D asset processing.
• Hands-on experimentation with MCPs, LLM chat integrations, or 2D/3D generative models.
• Understanding of spatial data structures and the geospatial field.