AI Platform Engineer (35577)

Myticas Consulting; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Myticas Consulting is partnering with a Toronto-based financial client to hire two AI Platform Engineers who will design, build, and operate scalable AI platform infrastructure that enables enterprise AI, GenAI, and agentic solutions.

The role entails implementing CI/CD, IaC (Terraform), and MLOps/LLMOps, ensuring governance, observability, and responsible AI across cloud environments. You will collaborate with engineers to deploy scalable AI capabilities and mentor peers.

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 or CrewAI (or cloud-based agentic AI platforms).
• Strong API integration and development experience.

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 integration

Terraform

Docker

Kubernetes

Cloud AI platforms

AI monitoring

Agentic AI frameworks

Consulting experience

Education

Degree in Computer Science, Engineering, or related field

Tools

LangGraph

CrewAI

MLOps/LLMOps

CI/CD pipelines

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