AI Platform Engineer
- 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
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI platform infrastructure that enables enterprise AI, Generative AI, and Agentic AI solutions at scale.
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.
Required Qualifications
- 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.
Technical Environment
- 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
The AI Platform Engineer at Myticas Consulting will design and manage AI platform infrastructure and gateways, and build and deploy AI agents and workflows. They will also set up CI/CD and MLOps practices, support governance and monitoring, and mentor team members.
Requirements
Candidates need a degree in computer science or engineering and 5 to 8+ years of platform, infrastructure or DevOps experience supporting AI workloads. Strong Python, Terraform, Docker, Kubernetes, API integration and agentic AI framework experience are required.
Skills
- Python
- Terraform
- Docker
- Kubernetes
- MLOps
- LLMOps
- LangGraph
- CrewAI
- Agentic AI workflows
- Generative AI
- Cloud AI platforms
- Open-source AI platforms
- CI/CD pipelines
- Infrastructure-as-Code
- AI monitoring and observability
- API integration and development
- AI gateway management
- AI governance
- Responsible AI controls
- Mentoring
Categories
- Technology
- Software
- Data & Analytics
- Consulting
- Finance & Accounting
Keywords
- AI Platform Engineer
- Python
- Terraform
- Docker
- Kubernetes
- MLOps
- LLMOps
- AI Gateways
- LangGraph
- CrewAI
- Agentic AI
- Generative AI
- Cloud AI Platforms
- CI/CD
- API Development
- Infrastructure-as-Code
- AI observability
- Responsible AI
- Consulting
- Myticas Consulting
Seniority
Senior
Tools
- Python
- Terraform
- Docker
- Kubernetes
- LangGraph
- CrewAI
- AI Gateways
- CI/CD pipelines
Languages
- English
Fields of study
- Computer Science
- Engineering