AI Platform Engineer with DevOps

Apptoza Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Apptoza Inc. in Toronto is seeking an AI Platform Engineer with DevOps experience to advance our GenAI and LLM deployment capabilities. You will build scalable CI/CD pipelines and coach teams to adopt DevOps practices across Capital Markets.

Join a team focused on transforming DevOps for AI-powered applications, with emphasis on efficiency, automation, and robust release processes.

Qualifications

• Must design, build and operate GenAI/LLM platforms.
• Develop scalable LLMOps and MLOps frameworks.
• Build reusable AI services including RAG, embeddings, AI gateway and inference APIs.

Responsibilities

• 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 leveraging DevOps offerings
• Champion developer-experience and best practices in conjunction with DevOps
• Participate in new tool adoption, POC process and provide recommendations
• Evolve DevOps services beyond current state for application teams

Job description

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 fast 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