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Myticas Consulting

AI Platform Engineer (35577)

  • Toronto, ON, Canada

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Job details

Job type
Contract
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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

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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 standards.

Requirements

Requires a degree in Computer Science, Engineering, or a related field, 5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads, and strong Python skills. Candidates should have experience with Terraform, Docker, Kubernetes, cloud AI ecosystems, AI monitoring and observability, agent frameworks such as LangGraph or CrewAI, and API development; consulting or professional services experience is preferred.

Skills

  • Python
  • Terraform
  • Docker
  • Kubernetes
  • Platform Engineering
  • Infrastructure-As-Code
  • MLOps
  • LLMOps
  • AI Gateways
  • Generative AI
  • Agentic AI
  • AI Agent Development
  • LangGraph
  • CrewAI
  • CI/CD
  • API Development

Visa sponsorship

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Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Consulting

Keywords

  • Python
  • Terraform
  • Docker
  • Kubernetes
  • Platform Engineering
  • Infrastructure Engineering
  • DevOps
  • Infrastructure-As-Code
  • MLOps
  • LLMOps
  • AI Gateways
  • Enterprise AI
  • Generative AI
  • Agentic AI
  • AI Agents
  • Agentic Workflows
  • LangGraph
  • CrewAI
  • Cloud AI Platforms
  • Open-Source AI Platforms
  • CI/CD
  • API Integration
  • API Development
  • AI Governance
  • Observability
  • Monitoring
  • Responsible AI
  • AI Transformation
  • Consulting

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