Job Title

AI Cloud & Infrastructure Engineer Toronto, Ontario, Canada Contract Job Description Proven hands-on experience building AI systems and infrastructure , LLM gateways MCP servers and MCP-Context-Forge Multi-agent workflows and orchestration frameworks Conversational / agentic AI pipelines Strong software engineering fundamentals: 100% coding in Python ability to design and build frameworks, APIs, or developer platforms Deep knowledge of packaging, testing, versioning, and CI/CD for Python Experience with RAG patterns and retrieval pipelines Semantic Kernel experience is a strong asset Cloud, Containers & Kubernetes: Expert understanding of Docker, containers, and Kubernetes Experience deploying containers and managing enterprise-grade K8s environments Understanding of unified network security and observability in Kubernetes GenAI & MLOps Knowledge: Familiarity with model serving, workflow orchestration, and multi-agent systems Understanding of responsible AI, compliance, and regulated-industry constraints Emphasis on custom development rather than simply spinning up infrastructure