R&D Engineer - AI and Innovation
Toronto, Ontario, Canada
R
CAD 154K-209K (estimate) Senior-level Full Time
Tasks
- Build LLM proof of concepts
- Create research demos
- Demo prototypes to team
- Evaluate LLM systems
- Evaluate embedding models
- Evaluate reranking approaches
- Extend agent and RAG SDKs
- Hand off validated prototypes to production team
- Implement agent patterns
- Implement retrieval strategies
- Improve retrieval pipeline
- Integrate AI providers
- Monitor LLM research developments
- Produce documentation
- Prototype AI ideas
- Synthesize AI infrastructure updates
- Test retrieval architectures
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent systems | Autogen | CrewAI | Embedding Models | Fine Tuning | Graph-based | Graph-based retrieval | Hybrid search | Hyde | Inference | Information Retrieval | Langgraph | Language Models | Large Language Models | MMR | Machine Learning | Multi-Agent | Multi-Agent Systems | PydanticAI | Python | RAG | Reranking | Retrieval-Augmented Generation | Vector Search | Vertex AI
Education
N/A
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