AI Engineer (Global Security)
16 YORK ST:TORONTO, Canada
CAD 67K-110K (estimate) Mid-level Full Time
Tasks
- Automate threat detection and remediation
- Build LLM and RAG systems
- Build and maintain data pipelines
- Configure vector databases
- Create context engineering pipelines
- Develop and deploy enterprise AI solutions
- Evaluate agent orchestration approaches
- Implement AI safety privacy and compliance controls
- Implement output quality benchmarking
- Integrate AI solutions with enterprise systems
- Maintain technical documentation
- Monitor model performance
- Set up secure deployment in regulated environments
Perks/Benefits
- Coaching and development support
- Comprehensive total rewards program
- Flexible work life balance options
- Opportunities across business
- Opportunities for challenging work
- Progressive accountabilities
Skills/Tech-stack
Airflow | Amazon SageMaker | Autogen | CI/CD | Context engineering | CrewAI | Docker | Generative AI | GitHub Actions | Go | Java | Jenkins | Kafka | Kinesis | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | Model Monitoring | NoSQL | PGVector | Pinecone | Python | Ray | Retrieval-Augmented Generation | SQL | Security analytics | Spark | Threat detection | TypeScript | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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