Senior AI Engineer | Canada | Remote
Tasks
- Architect retrieval augmented generation pipelines
- Build MCP servers and APIs
- Build multi-agent AI systems
- Create reusable agentic skills for business tools
- Create scalable serverless or containerized services
- Create self service documentation and playbooks
- Define automation platform data models and API contracts
- Design and deploy automation workflows
- Develop AI agent orchestration and deployment
- Develop CLIs and microservices for AI systems
- Establish AI governance and compliance controls
- Implement CI CD testing and reliability practices
- Implement observability and feedback loops
- Integrate LLMs with internal and third party data
Perks/Benefits
Skills/Tech-stack
APIs | Anthropic MCP) | BigQuery | CI/CD | CLIs | ChromaDB | Cloud Functions | Cloud Run | Cloud platform | Cost Optimization | CrewAI | Function Calling | Git | Google Cloud | Google Cloud Platform | Human-in-the-loop | JavaScript | LLM | Langchain | Latency optimization | Logging | Microservices | Model Context Protocol | Monitoring | N8n | Node.js | PGVector | Pinecone | Prompt engineering | Python | Qdrant | RAG | Retrieval-Augmented Generation | Server Side | Server-side development | Serverless | Structured Output | Testing | The Loop | Tool use | Vector Databases | Weaviate | Workato
Education
N/A
Roles
AI | AI & Automation Engineer | AI Automation | AI Engineer | Automation Engineer | Engineer | Senior AI Engineer
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