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AI Cloud & Infrastructure EngineerE-Solutions • Toronto, ON
AI Cloud & Infrastructure Engineer

AI Cloud & Infrastructure Engineer

E-Solutions • Toronto, ON
30+ days ago
Job type
  • Full-time
Job description

Job Title :: AI Cloud & Infrastructure Engineer
Job Location :: Toronto, Canada (Hybrid- - days/week)
Mode of hiring :: Contract

We're specifically looking for someone who is not only strong in cloud engineering, but who has real, hands-on experience building AI solutions and the infrastructure that supports them.
This role is ideal for someone who has actually built and deployed AI systems end-to-end — not just prototypes.

What We're Looking For

Proven hands-on experience building AI systems and infrastructure, including:
  • LLM gateways
  • MCP servers and MCP-Context-Forge
  • Multi-agent workflows and orchestration frameworks
  • Conversational / agentic AI pipelines

Strong software engineering fundamentals:
  • % 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 Ks 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


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AI Cloud & Infrastructure Engineer • Toronto, ON

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