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.
Solid 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 skilled services experience preferred.
Technical Workplace
Python
Terraform
Docker
Kubernetes
MLOps / LLMOps
AI Gateways
LangGraph
CrewAI
Agentic AI
Generative AI
Cloud AI Platforms
CI/CD
API Development
,
📌 Ai Platform Engineer 35577 Toronto
🏢 Myticas Consulting
📍 Toronto
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