ML Infrastructure Engineer

ABOUT THE ROLE We are a small, fast-moving enterprise AI infrastructure company (Seed stage, backed by institutional investors) building a context layer that makes AI agents reliable, accurate, and secure for production deployment in regulated industries — including insurance, banking, asset management, healthcare, and logistics. We're looking for a ML Infrastructure Engineer who thrives in early-stage environments and wants to help shape the technical foundation of a product from the ground up. You'll work directly with the founding team, make real architectural decisions, and own critical pieces of a system that handles enterprise data at scale. WHAT YOU'LL DO - Design, build, and maintain end-to-end ML pipelines and production ML systems that power our enterprise context layer. - Fine-tune and deploy Large Language Models (LLMs) and transformer-based architectures for real-world enterprise use cases. - Build and improve information retrieval systems, knowledge graphs, and semantic understanding capabilities across heterogeneous enterprise data sources. - Apply unsupervised learning techniques to discover patterns and relationships in large volumes of unlabeled enterprise data. -... Click Apply to read the full job description.