Senior AI Engineer
Tasks
- Architect AI infrastructure
- Automate internal workflow tooling
- Benchmark model value
- Build prompt and model iteration loops
- Collaborate on technical specifications
- Design agentic workflows
- Develop LLM evaluation frameworks
- Ensure AI subsystem reliability
- Ensure AI subsystem scalability
- Implement function calling for LLM reliability
- Implement multi-agent systems
- Implement systematic testing for LLM failures
- Lead technical initiatives
- Maintain engineering documentation
- Orchestrate agent behavior
- Set up monitoring for output quality
- Troubleshoot AI subsystems
Perks/Benefits
- Birthday off
- Employer Paid Benefits
- Generous vacation
- Health days
- Health spending account
- Hybrid work
- Personal day
- Personal development budget
- RRSP Group Savings Plan
- Stock option plan
- Volunteering days
- Work from anywhere
Skills/Tech-stack
Agent systems | Agile Development | Artificial Intelligence | Function Calling | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Retrieval-Augmented Generation | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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