Sr. Engineer ( Private Cloud, Data & AI - Enterprise AI Solutions )
Toronto, ON
CAD 140K-199K (estimate) Senior-level Full Time Found 13d ago
Tasks
- Architect AI applications on enterprise infrastructure
- Build scalable data pipelines
- Create rapid prototypes and POCs
- Create reusable IP and frameworks
- Design and deliver AI solutions
- Develop and fine-tune LLM/SLM solutions
- Embed with enterprise clients to diagnose challenges
- Ensure AI observability and monitoring
- Feedback insights to platform teams
- Identify expansion opportunities
- Implement RAG architectures and multi-agent workflows
- Mentor engineering and customer teams
- Own project lifecycle from scoping to deployment
- Utilize full-stack and DevOps tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI platforms | Agent Orchestration | Agent systems | CI/CD | Data Pipelines | Docker | GPU infrastructure | Go | Knowledge graphs | Kubernetes | LLMs | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | Observability | Ontology Modeling | Prompt engineering | Python | React | Telemetry | Vector Databases | Vue
Education
Bachelor | Data Science | Engineering | Master | Mathematics | PhD in Computer Science | Physics
Language: en |
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