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Design, fine-tune, and deploy LLMs and vision models; build agentic workflows and tool-augmented systems to interpret geophysical and geochemical data; integrate AI into the platform and collaborate with geoscientists and engineers to produce scalable, robust exploration tools.

Design, build, and maintain full-stack components for the Geology OS: scalable back-end APIs (Python), responsive front-end interfaces (React), and integrate agentic LLM-powered AI, cartography, and 3D modeling. Lead architecture decisions, collaborate cross-functionally, own production deployments, and ensure high performance, reliability, and code quality.

Work with geologists and R&D to translate field problems into data/AI solutions, prototype on the Core Platform, test new tools, run demos/workshops, and relay product feedback to engineering and product teams.

Design and operate scalable data pipelines and analytics infrastructure for planetary-scale geospatial datasets (satellite, LiDAR, surveys). Integrate GenAI for adaptive ETL, build geospatial tiling and raster/vector processing, maintain data models and analytics stack, deploy production cloud services, and collaborate with AI engineers and geologists to quantify platform value.

Unsolicited application invitation: submit your profile and resume for consideration across evolving roles at a Paris-based AI-driven mineral exploration startup. Applications are reviewed and contacted if a fit is found.