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
