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Posted 16 days ago

AI Platform Engineer with DevOps Experience

@ Astra North Infoteck Inc.

Halifax, Nova Scotia

Apply now
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Overview

Astra North Infoteck Inc. is hiring an AI Platform Engineer to build and run enterprise AI/GenAI platforms for large language models and AI applications, and to develop CI/CD and DevOps services for application teams. The work covers model deployment, monitoring, versioning, evaluation and governance, plus coaching teams on DevOps practices. The posting requires strong DevOps, CI/CD, and LLMOps/MLOps experience.

Responsibilities:

  • Build CI/CD pipelines and DevOps services
  • Design and operate enterprise AI/GenAI platforms
  • Develop LLMOps and MLOps frameworks
  • Coach application teams on DevOps practices
  • Build reusable AI services

Requirements summary:

  • Strong software engineering across the SDLC
  • Development in Java, Python, JavaScript/TypeScript, C# or C/C++
  • Experience with Docker or Kubernetes
  • Experience with GitHub Actions and Jenkins
  • Knowledge of AI/GenAI platforms, LLMOps and MLOps
  • Agile methodologies including Scrum

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2026-10-21
First seen by our source
2026-10-22
Source record updated
2026-10-22

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high

Summary and details written by AI from the posting; the employer’s posting is the authority.

Astra North Infoteck Inc.

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Job description

AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps

What Will You Do?

  • Develop value-add services that integrate with the existing DevOps stack.
  • Develop CI/CD pipelines using:
    • GitHub Actions
    • TypeScript
    • Python
    • Groovy
    • Jenkins
  • Coach application teams on leveraging DevOps offerings.
  • Champion developer experience and DevOps best practices.
  • Participate in new tool adoption, POCs, and provide recommendations.
  • Evolve DevOps services for application teams.
  • 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
    • Governance
  • Build reusable AI services.

Must-Have Skills

  • Strong engineering capabilities across the SDLC and production-class delivery.
  • Strong analytical, communication, ownership, and problem-solving skills.
  • Development experience in one or more of:
    • Java
    • Python
    • JavaScript / TypeScript
    • C#
    • C / C++
  • Experience with application and system design patterns.
  • Experience with Docker or Kubernetes.
  • Experience with Agile methodologies, including Scrum.
  • Strong experience with CI/CD and DevOps practices.
  • Experience with GitHub Actions and Jenkins.
  • Knowledge of AI/GenAI platforms, LLMOps, and MLOps.

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