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AI Cloud & Infrastructure Engineer
Epsilon Solutions LTD
- 🇨🇦 Canada
- On-site
- 10 months ago
- AI
- MCP
- Python
- CI/CD
- RAG
- Semantic Kernel
- Kubernetes
- Docker
- Network Security
- Machine Learning
- MLOps
10 months ago
Job Location :: Toronto, Canada (Hybrid- 3-4 days/week)
Mode of hiring :: Contract
We're specifically looking for someone who is not only strong in cloud engineering, but who hasreal, 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:
- 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
AI Cloud & Infrastructure Engineer · Epsilon Solutions LTD