AI Engineer - Canada
Tasks
- Architect agentic workflows
- Build multi-agent systems
- Collaborate with product and QA teams
- Design LLM applications
- Develop and deploy LLM services
- Develop embeddings and vector search
- Develop frontend to backend systems
- Fine-tune large language models
- Implement CI/CD integration
- Implement prompt engineering
- Implement rag pipelines
- Integrate LLMs with Java services
- Optimize reranking for retrieval
- Refactor and optimize code
- Use AI coding tools to generate code
- Validate AI generated code in production
Perks/Benefits
- High autonomy
- High ownership
- Hybrid work environment
- In office 2 to 3 days per week
- Supportive team collaboration
Skills/Tech-stack
CI/CD | Embeddings | Generative AI | GitHub Copilot | Java | Langchain | Langgraph | Language Models | Large Language Models | LoRA | Prompt engineering | Python | QLoRA | RAG | REST | REST APIs | React | Reranking | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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