Job Title

AI Cloud & Infrastructure EngineerToronto, Ontario, CanadaContractJob DescriptionProven hands-on experience building AI systems and infrastructure, LLM gatewaysMCP servers and MCP-Context-ForgeMulti-agent workflows and orchestration frameworksConversational / agentic AI pipelines Strong software engineering fundamentals:100% coding in Python — ability to design and build frameworks, APIs, or developer platformsDeep knowledge of packaging, testing, versioning, and CI/CD for PythonExperience with RAG patterns and retrieval pipelinesSemantic Kernel experience is a strong asset Cloud, Containers & Kubernetes:Expert understanding of Docker, containers, and KubernetesExperience deploying containers and managing enterprise-grade K8s environmentsUnderstanding of unified network security and observability in Kubernetes GenAI & MLOps Knowledge:Familiarity with model serving, workflow orchestration, and multi-agent systemsUnderstanding of responsible AI, compliance, and regulated-industry constraintsEmphasis on custom development rather than simply spinning up infrastructure