Senior AI Systems Engineer – Material Intelligence

Senior AI Systems Engineer to build internal AI and data science capability for material intelligence. Role focuses on working with structured material datasets to develop robust, production-ready AI models; improving data pipelines and feature engineering; developing predictive models for material properties; evaluating model performance with emphasis on robustness, generalization, and uncertainty; documenting architectures, modeling decisions, and limitations; collaborating with external partners and internal stakeholders; translating AI concepts into material-science insights; building scalable AI-enabled material data systems and integrating AI-based tools; using LLMs pragmatically for automation and data processing; contributing to AI infrastructure and tooling decisions; ensuring reliable, maintainable systems. Hybrid work is preferred in Florianópolis or Curitiba, Brazil.