Applied AI Engineer - Canada
Tasks
- Build and deploy LLM-powered applications
- Build and maintain full-stack products
- Create unit, integration, and end-to-end tests
- Debug production issues and optimize latency cost and scalability
- Define evaluation frameworks for AI outputs
- Design agent workflows
- Develop prompt strategies
- Implement retrieval-augmented generation
- Integrate LLM APIs
- Optimize system quality and reliability
- Translate requirements into working solutions
- Use AI-assisted coding tools
- Validate and test AI generated code
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Anthropic API | Benchmarking | CI/CD | Docker | End to End | End-to-End Testing | Evaluation Frameworks | Gemini API | Google Gemini | Google Gemini API | Integration Testing | JavaScript | LLM | Langchain | Langgraph | OpenAI API | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Unit Testing | Vector Databases
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