AI Engineer (Global Security)
16 YORK ST:TORONTO, Canada
CAD 67K-110K (estimate) Mid-level Full Time
Tasks
- Apply AI safety privacy and regulatory compliance best practices
- Build and improve LLM and RAG systems
- Build and maintain data pipelines and context layers
- Collaborate with security and data science teams on requirements and documentation
- Deploy AI solutions in regulated environments
- Develop and deploy enterprise AI solutions for threat detection and remediation
- Evaluate technical approaches for AI agents and workflows
- Implement vector search and context engineering pipelines
- Integrate AI solutions with enterprise systems and platforms
- Monitor AI models and implement fallback mechanisms
Perks/Benefits
- Bonus
- Coaching and development
- Collaborative work environment
- Flexible benefits
- Flexible work life balance options
- Stock options
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 | Optimization | PGVector | Pinecone | Probability | Python | RAG | Ray | Retrieval-Augmented Generation | SQL | Spark | Statistics | TypeScript | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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