Closed listing
AI Platform Engineer (35577)
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Responsibilities
- Design and manage enterprise AI platform infrastructure and AI gateways.
- Build and operationalize AI, GenAI, and Agentic AI solutions.
- Develop and deploy AI agents and agentic workflows.
- Implement CI/CD pipelines, Infrastructure-as-Code, and MLOps/LLMOps best practices.
- Support AI governance, observability, monitoring, and responsible AI controls.
- Mentor team members and contribute to AI delivery standards and best practices.
- Degree in Computer Science, Engineering, or a related field.
- 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
- Strong Python development skills.
- Experience with Infrastructure-as-Code (Terraform).
- Hands-on experience with Docker and Kubernetes.
- Experience with major cloud AI ecosystems and open-source AI platforms.
- Knowledge of AI monitoring and observability tools.
- Experience building and deploying AI agents using frameworks such as LangGraph, CrewAI, or cloud-based agentic AI platforms.
- Strong API integration and development experience.
- Consulting or professional services experience preferred.
- Python
- Terraform
- Docker
- Kubernetes
- MLOps / LLMOps
- AI Gateways
- LangGraph
- CrewAI
- Agentic AI
- Generative AI
- Cloud AI Platforms
- CI/CD
- API Development
More about this job
Responsibilities
Design, build, and operate enterprise AI platform infrastructure and gateways, and develop and deploy AI, Generative AI, and agentic solutions and workflows. Implement CI/CD, Infrastructure-as-Code, and MLOps/LLMOps practices while supporting AI governance, observability, monitoring, responsible AI controls, and team standards.
Requirements
Requires a degree in Computer Science, Engineering, or a related field, along with 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads. Candidates need strong Python, Terraform, Docker, Kubernetes, cloud AI platform, AI observability, agent framework, and API development experience; consulting or professional services experience is preferred.
Skills
- Python
- Terraform
- Docker
- Kubernetes
- Platform Engineering
- Infrastructure-As-Code
- MLOps
- LLMOps
- AI Gateways
- Generative AI
- Agentic AI
- AI Agents
- LangGraph
- CrewAI
- CI/CD
- API Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Finance & Accounting
Keywords
- Artificial Intelligence
- Enterprise AI
- Generative AI
- Agentic AI
- AI Platform Infrastructure
- AI Gateways
- AI Agents
- Agentic Workflows
- Python
- Terraform
- Infrastructure-As-Code
- Docker
- Kubernetes
- MLOps
- LLMOps
- CI/CD
- Cloud AI Platforms
- Open-Source AI Platforms
- AI Monitoring
- Observability
- AI Governance
- Responsible AI
- LangGraph
- CrewAI
- API Integration
- API Development
- DevOps
- Platform Engineering
- Consulting
- Financial Services