AI Engineer
Brampton, Ontario, Canada
CAD 150K-174K (estimate) Senior-level Full Time
Tasks
- Build multi agent workflows using orchestration frameworks and agent to agent communication protocols
- Collaborate with cross functional teams to collect requirements and translate workflows into agent capabilities
- Deploy and maintain agent infrastructure on Kubernetes using GitOps and observability tooling
- Design develop and deploy MCP servers exposing domain services as AI consumable tools
- Design hybrid retrieval architectures routing between CAG RAG and KAG
- Develop and optimize knowledge retrieval pipelines using RAG KAG CAG
- Implement LLM integration layers prompt engineering function calling structured output parsing model routing
Perks/Benefits
Skills/Tech-stack
BigQuery | CAG | Cloud Platforms | Function Calling | GitOps | KAG | Knowledge Retrieval | Kubernetes | Language Models | Large Language Models | MCP | Microservices | Model routing | Observability | Output parsing | Prompt engineering | Python | RAG | REST APIs | SQL | Snowflake | Structured Output | Structured output parsing | Tool use
Education
Roles
AI | AI Engineer | Engineer
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