AI Engineer
Brampton, Ontario, Canada
CAD 135K-170K (estimate) Senior-level Full Time
Tasks
- Build multi agent workflows for logistics automation
- Deploy and maintain agent infrastructure on Kubernetes
- Design MCP servers with authentication and observability
- Design prompt engineering and structured output parsing
- Develop knowledge retrieval pipelines with RAG
- Implement hybrid retrieval routing between CAG RAG and KAG
- Integrate LLM features including function calling structured outputs
Perks/Benefits
Skills/Tech-stack
BigQuery | Cache Augmented Generation | Function Calling | GitOps | Knowledge Retrieval | Knowledge graphs | Knowledge-Augmented Generation | Kubernetes | LLM | Microservices | Model routing | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | SQL | Snowflake | Structured Output
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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