Senior Applied AI Engineer
Tasks
- Analyze failures and improve prompts models and tools
- Architect AI products end to end
- Build reliable agent systems
- Convert prototypes into production products
- Define evaluation plans for agent performance
- Deploy production AI systems at scale
- Implement agent loops tool use and recovery
- Optimize latency cost and observability
- Own frontend backend APIs databases and infrastructure
Perks/Benefits
- 401k or RRSP
- Annual team offsite
- Free Rides to and from Work
- Free meals
- Health, dental, and vision insurance
- Paid time off
- Wellness stipend
Skills/Tech-stack
API Development | Agent Orchestration | Databases | Evaluation | JavaScript | LLM Agents | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Structured Output | Tool use
Education
N/A
Regions
Countries
States
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