Senior AI Engineer
Tasks
- Architect scalable AI infrastructure
- Build LLM powered inference workflows
- Build and maintain RAG pipelines
- Collaborate with product and engineering teams
- Define AI engineering standards for reliability safety and observability
- Design and build production grade AI agent systems
- Develop APIs and backend services
- Ensure quality through testing code reviews and production monitoring
- Evaluate and integrate LLM frameworks and tools
- Implement tool execution and conversational state management
Perks/Benefits
- Flexible paid time off
- Health spending account
- Long-term disability insurance
- Medical, dental & vision coverage
- RRSP employer matching
Skills/Tech-stack
AWS | Amazon Bedrock | Code review | Conversational State | Distributed Systems | Embeddings | LLM Inference | Lambda | Node.js | Observability | OpenSearch | Production Monitoring | Prompt engineering | RAG | REST APIs | Reliability Engineering | Retrieval-Augmented Generation | Safety engineering | System design | Testing | Tool-Calling | Vector Databases
Education
Roles
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