AI Platform Engineer (35577)

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

Job summary

Myticas Consulting Inc. in Toronto is seeking two AI Platform Engineers to design, build, and operate AI platform infrastructure for enterprise AI, GenAI, and agentic AI solutions at scale.

You will implement CI/CD, IaC, and MLOps/LLMOps, monitor governance and observability, and mentor others while contributing to engineering standards.

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.

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 development

API integration

Consulting experience

MLOps/LLMOps

Cloud AI ecosystems

Observability/monitoring

Agentic AI frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

LangGraph

CrewAI

AI Gateways

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