AI Engineer
Brampton, Ontario, Canada
CAD 135K-170K (estimate) Senior-level Full Time
Tasks
- Build multi agent workflows using orchestration frameworks and agent to agent communication
- 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 with authentication observability and error handling
- Design hybrid retrieval architectures routing between CAG RAG and KAG
- Develop and optimize knowledge retrieval pipelines using RAG KAG and CAG
- Implement LLM integration layers prompt engineering function calling structured output parsing and model routing
Perks/Benefits
Skills/Tech-stack
BigQuery | Cache Augmented Generation | Function Calling | GitOps | Knowledge graphs | Knowledge-Augmented Generation | Kubernetes | Language Models | Large Language Models | Microservices | Model routing | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Snowflake | Structured Output
Education
Roles
AI | AI Engineer | Engineer
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