We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory, knowledge graph infrastructure, and robust context management systems
You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems
Architect and implement long-term memory infrastructure for AI agents, including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning
Design and own end-to-end GraphRAG and knowledge graph pipelines, from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems
Build scalable context management infrastructure, elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning
Translate advanced agent research into production-grade systems, prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability
Ensure reliability, observability, and governance of agent infrastructure, including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation