AI Engineer - Full time
CAD 88K-118K (estimate) Entry-level Full Time
Tasks
- Build and deploy LLM-powered systems
- Build reliability and safety infrastructure for AI
- Create AI evaluation and benchmarking frameworks
- Create prompt engineering and versioning
- Design RAG pipelines and grounding techniques
- Design intelligent agents and multi agent systems
- Design multi agent orchestration workflows
- Develop API endpoints for AI agents
- Ensure privacy security and responsible AI compliance
- Implement PHI protection guardrails
- Implement human in the loop escalation and review
- Implement model context protocols
- Implement structured output enforcement
- Integrate AI agents with EHR HRIS ERP via APIs
- Monitor and troubleshoot production AI issues
- Set up observability tracing for audit trails
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Agent systems | Agentic AI | CI/CD | Few-Shot Learning | Few-shot | Generative AI | Git | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Observability | Orchestration frameworks | Privacy | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Security | Semantic Kernel | Structured Output | The Loop | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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