AI Platform Engineer with DevOps

Apptoza Inc.; Halifax; On-site; CAD 110,000 - 140,000; Full time

Job summary

Apptoza Inc. is seeking an AI Platform Engineer with DevOps experience to design and operate scalable AI/GenAI platforms, integrating with the existing DevOps stack. You will build value-add services and CICD pipelines, leveraging Docker and Kubernetes to support production-grade deployments.

You will coach teams, promote developer experience, and contribute to tool adoption, POC processes, and governance. The role requires strong communication, ownership, and experience with SCRUM and modern

Qualifications

• SDLC experience with production-class delivery.
• Experience with Docker or Kubernetes.
• Experience with Agile methodologies, SCRUM.
• Design, build, and operate enterprise AI/GenAI platforms.
• Develop scalable LLMOps and MLOps frameworks.

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 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

Skills

DevOps mindset

SDLC experience

Analytical mindset

Communication skills

Ownership / drive

Agile methodologies (SCRUM)

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

UrbanCodeDeploy

Elastic Search

Kibana

Azure

AWS

TypeScript

Python

Groovy

Job description

Role: 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 GenAI, LLM

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:

• An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive
• Experience with application and system design patterns
• Experience with Docker or Kubernetes
• Experience with Agile methodologies, ie SCRUM
• 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, UrbanCodeDeploy
• Experience with a public cloud technology, i.e. Azure, AWS
• Experience building or supporting distributed applications