Applied AI Engineer - Canada
Tasks
- Build LLM-powered applications
- Collaborate with cross-functional teams
- Debug production issues
- Define evaluation frameworks for AI outputs
- Deploy agent based systems
- Design prompt strategies
- Develop agent workflows
- Implement context management RAG memory
- Integrate LLM APIs
- Optimize latency cost scalability
- Optimize system reliability and performance
- Own product lifecycle backend and frontend
- Test and validate AI generated code
- Translate ambiguous requirements into solutions
- Use AI-assisted coding tools
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Anthropic API | Benchmarking | CI/CD | End to End | End-to-End Testing | Evaluation Frameworks | Gemini API | Integration Testing | JavaScript | Langchain | Langgraph | Language Models | Large Language Models | OpenAI API | Prompt engineering | Python | RAG | Tool use | Unit Testing
Education
N/A
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