AI Platform Engineer (35577)

Myticas Consulting; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Myticas Consulting is seeking two AI Platform Engineers in Toronto to design, build, and operate scalable AI platform infrastructure for enterprise AI transformations. You will enable GenAI and agentic AI solutions, develop and deploy AI agents, and implement MLOps best practices.

Responsibilities include CI/CD, IaC, governance, observability, and mentoring team members to uphold delivery standards across AI initiatives.

Qualifications

• Degree in Computer Science or related field.
• 5–8+ years of platform engineering or DevOps supporting AI workloads.
• Strong Python development skills.
• Experience with Infrastructure-as-Code (Terraform).
• Hands-on Docker and Kubernetes experience.
• Experience with major cloud AI ecosystems and open-source AI platforms.
• Knowledge of AI monitoring and observability tools.
• Experience building AI agents using LangGraph, CrewAI, or cloud-based agentic AI platforms.
• Strong API integration and development experience.
• Consulting or professional services experience preferred.

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.

Skills

Python

API development

Consulting experience

Team mentoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Docker

Kubernetes

LangGraph

CrewAI

Cloud AI platforms

MLOps/LLMOps

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