Agentic AI Engineer
toronto, ON, CA
CAD 126K-170K (estimate) Senior-level Full Time
Tasks
- Build Python API services and UI dashboards
- Build agentic AI architectures
- Deploy, monitor, and optimize AI systems in Azure
- Design agent-based AI workflows
- Develop GenAI systems with RAG over CRM data
- Develop LLM powered tool calling agents
- Develop classical machine learning models
- Implement HIPAA aware AI architectures
- Implement RAG systems
- Integrate LLMs with sensor data MES ERP and IoT platforms
- Integrate with FHIR HL7 healthcare systems
- Orchestrate multi-agent systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent Orchestration | Agent-based | Agent-based systems | Anomaly Detection | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure OpenAI | Classification | Clustering | Data Lakes | Document Intelligence | Document Intelligence Pipelines | Embeddings | FHIR | HIPAA | HL7 | Kubernetes Service | Language Models | Language Processing | Large Language Models | Machine Learning | Model Explainability | Model Governance | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | Risk scoring | Time Series | Tool-Calling
Education
N/A
Roles
AI | AI Architect | AI Engineer | Agentic AI Engineer | Architect | Engineer
Language: en
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