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Myticas Consulting

AI Platform Engineer (35577)

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Oct 30, 2026
Experience: 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Posting language: English
Posted: Sep 30, 2026

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

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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 delivery 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
LangGraph
CrewAI
Agentic AI
Generative AI
CI/CD
API Development
AI Monitoring and Observability

Visa sponsorship

Not detected in the job text

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
LangGraph
CrewAI
Cloud AI Platforms
Open-Source AI Platforms
API Integration
API Development
AI Governance
AI Observability
AI Monitoring
Responsible AI
Platform Engineering
DevOps
AI Transformation
Consulting
Professional Services

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