AI Engineer - Canada
Tasks
- Apply prompt engineering
- Build RAG pipelines
- Collaborate with product and QA teams
- Create tests and integrate generated code
- Design agentic workflows
- Develop LLM applications
- Develop end to end backend and frontend
- Fine-tune LLMs
- Implement embeddings vector databases and rerankers
- Integrate LLM APIs
- Use AI coding tools for refactoring and optimization
Perks/Benefits
Skills/Tech-stack
Embeddings | Fine Tuning | Generative AI | GitHub Copilot | Java | JavaScript | LLM | Langchain | Langgraph | Language Models | Large Language Models | LoRA | Prompt engineering | Python | QLoRA | RAG | REST API | React | Reranking | Retrieval-Augmented Generation | Threading | Vector Database | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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