AI Platform Engineer with DevOps (Ontario)

AI Platform Engineer with DevOps (Ontario)

28 Aug
|
apptoza
|
Ontario

28 Aug

apptoza

Ontario

Job Description: AI Platform Engineer with DevOps Experience - DevOps, Docker (Software), GitHub, GitHub Actions, Information Technology (IT) Infrastructure, Kubernetes, Programming Languages, Red Hat Ansible ,Software Product Design, Software Product Technical Knowledge, Software Gen AI, LLM
Job Description
What is the Opportunity? Are you looking to make an impact across many teams? Excited at the thought of transforming the flows that help these teams deliver their products to production? If so, you’ve come to the right place.
We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application teams across Capital Markets. An open minded individual who is not afraid to fail rapid and pivot when needed. An individual who seeks out gaps and challenges to drive efficiency not only for other application teams but also for their own team. Knowledge sharing is key in this respect. As a Developer, you will participate in transforming DevOps for Capital Markets.
What will you do? Develop value-add services which integrate with the existing DevOps stack
Develop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and Jenkins




Coach application teams on how to leverage DevOps offerings
Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
Participate in new tool adoption, POC process and provide recommendations
Evolve DevOps services beyond current state for application teams
What do you need to succeed? Must-have: Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
Build reusable AI services including: Retrieval Augmented Generation (RAG) architectures
Embedding and Vector Search Services
AI Gateway and Inference APIs
Agentic AI Orchestration Frameworks

Nice-to-have: Experience with Elastic Search and Kibana
Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, Urban Code Deploy
Experience with a public cloud technology, i.e. Azure, AWS
Experience building or supporting distributed applications

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📌 AI Platform Engineer with DevOps (Ontario)
🏢 apptoza
📍 Ontario

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