AI Engineer
Brampton, Ontario, Canada
CAD 144K-170K (estimate) Senior-level Full Time
Tasks
- Build multi agent workflows with orchestration frameworks
- Collaborate with teams to translate workflows into agent capabilities
- Deploy and maintain agent infrastructure on Kubernetes with GitOps and observability
- Design develop deploy MCP servers with authentication observability error handling
- Design hybrid retrieval architectures with routing
- Develop optimize knowledge retrieval pipelines with RAG KAG CAG
- Implement LLM integration layers with prompt engineering function calling structured outputs
Perks/Benefits
Skills/Tech-stack
BigQuery | Cache Augmented Generation | Cloud Platforms | Function Calling | GitOps | Knowledge-Augmented Generation | Kubernetes | LLM integration | Microservices | Model routing | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Snowflake | Structured Output | Tool use
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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