Build production-ready infrastructure for agentic AI, including secure execution, identity and authentication, model routing, resource management, and agent state capabilities. Prototype and evaluate technologies, develop core platform capabilities, and collaborate with research teams to shape infrastructure for future agent systems. Requirements: Candidates should have experience building production ML infrastructure and strong systems fundamentals, including scalable, fault-tolerant distributed systems and Kubernetes. Relevant experience with agentic systems, model routing, rapid prototyping, and deciding what is ready for production is also sought. Key Skills: Production ML Infrastructure, Systems Engineering, Agentic AI Systems, Distributed Systems, Kubernetes, Model Routing, LLM Provider Frameworks, Secure Code Execution, Identity and Authentication, Resource Management, State Management, Fault Tolerance, Storage Systems, Filesystem Abstractions, Code Execution Sandboxes, Productionization Benefits: Lunch Stipend, Health Insurance, Dental Insurance, Mental Health Benefits, RRSP Matching, 401(k), Pension Scheme, Paid Parental Leave, Annual Enrichment Benefits, Education and Learning Stipend, Paid Vacation, Travel Budget, Co-Working Benefit, Home Office Stipend