AI Engineer (GenAI/LLMOps)
CAN, Ontario, Toronto, 250 Bloor Street East, Canada
CAD 94K-144K Mid-level Full Time
Tasks
- Build modular ML and GenAI pipelines
- Collaborate with cloud and security teams
- Deploy models using Docker and Kubernetes
- Design monitoring for agent lifecycle
- Develop and maintain FastAPI REST APIs
- Implement GenAI patterns on Azure AI Foundry and Databricks
- Implement production observability with OpenTelemetry
- Manage versioning and release processes
- Mentor team on best practices in engineering and MLOps
- Optimize models for performance and scalability
- Stay updated with ML, GenAI, and DevSecOps advancements
Perks/Benefits
Skills/Tech-stack
Application development | Azure Data | Azure Data Lake | Azure Databricks | Azure ML | CI/CD | Cloud Architecture | Code Quality | Cosmos DB | Data Engineering | Data Lake | Data Science | DevOps | Docker | FastAPI | Guardrails | Integration Testing | Kubernetes | LLMOps | Langfuse | Langsmith | MLflow | Model Deployment | Model Monitoring | Model Optimization | OpenTelemetry | Prompt engineering | Python | RAG | RESTful APIs | Security policies | Software Engineering | Unit Testing | Vector Databases
Education
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