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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, open-source AI platforms, AI observability, agent frameworks, 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
  • 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
  • AI Observability
  • Monitoring
  • Responsible AI
  • Enterprise AI
  • AI Transformation
  • Consulting
  • Professional Services

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