Lead AI Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 82K-141K (estimate) Senior-level Full Time
Tasks
- Architect and build enterprise scale agentic AI solutions
- Build RAG-architectures
- Deploy and maintain agentic AI systems
- Design dynamic disaster recovery workflows
- Design multi agent stateful workflows
- Develop autonomous agents for production diagnosis and resolution
- Implement LLM orchestration and tool use
- Implement automated incident resolution
- Implement compliance monitoring
- Implement human-in-the-loop patterns
- Implement security remediation capabilities
- Implement self-healing infrastructure
- Mentor engineers and lead engineering knowledge sharing
- Provide technical guidance through pair programming and code reviews
Perks/Benefits
- Collaborative high performing team
- Comprehensive total rewards program
- Flexible work life balance options
- Opportunities for greater accountabilities
- World class training program
Skills/Tech-stack
AWS | Agent systems | Ansible | Anthropic Claude | Autogen | Azure | CrewAI | DevOps | Distributed Systems | Dynatrace | Elastic Stack | FastAPI | Function Calling | GCP | Grafana | GraphQL | JavaScript | Kubernetes | LLM orchestration | Langchain | Langgraph | Logs | MCP | Metrics | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prometheus | Prompt engineering | Pydantic | Python | RAG | REST | React | SRE | Telemetry | Terraform | Tool use | Traces | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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