AI Platform Engineer (35577)
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
- Posting language
- English
- Posted
Original job description
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 AI solutions and workflows. Implement CI/CD, Infrastructure-as-Code, and MLOps/LLMOps practices while supporting governance, observability, monitoring, responsible AI controls, and team standards.
Requirements
A degree in Computer Science, Engineering, or a related field and 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads are required. Candidates should have strong Python skills, experience with Terraform, Docker, Kubernetes, cloud AI ecosystems, AI monitoring, agent frameworks, and API development; consulting or professional services experience is preferred.
Skills
- Python
- Terraform
- Docker
- Kubernetes
- MLOps
- LLMOps
- AI Gateways
- LangGraph
- CrewAI
- Agentic AI
- Generative AI
- Cloud AI Platforms
- CI/CD
- API Development
- AI Observability
- Infrastructure-as-Code
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Keywords
- Enterprise AI
- AI Platform Infrastructure
- AI Gateways
- Generative AI
- Agentic AI
- AI Agents
- Agentic Workflows
- Python
- Terraform
- Infrastructure-as-Code
- Docker
- Kubernetes
- MLOps
- LLMOps
- CI/CD
- Cloud AI Ecosystems
- Open-Source AI Platforms
- AI Monitoring
- Observability
- AI Governance
- Responsible AI
- LangGraph
- CrewAI
- API Integration
- API Development
- Platform Engineering
- DevOps
- AI Transformation