AI Platform Engineer with DevOps Experience

AI Platform Engineer with DevOps Experience

Job Title: AI Platform Engineer with DevOps Experience
Job Type: Full Time
Location: Halifax (Onsite 4 Days)

Job Description

We are seeking an experienced AI Platform Engineer with DevOps Experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The ideal candidate will have strong software engineering skills, hands‑on experience with CI/CD pipelines, and knowledge of LLMOps and MLOps frameworks for deploying and managing AI-powered applications.

Key Responsibilities

• Develop value-added services that integrate with existing DevOps platforms and tools.
• Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs).
• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services to support enterprise application teams.
• Coach application teams on DevOps tools, automation, and best practices.
• Promote developer experience, engineering excellence, and continuous improvement.
• Participate in proof of concepts (POCs), evaluate new tools, and recommend suitable technologies.
• Enhance and evolve DevOps services to meet application team requirements.
• Collaborate with cross-functional teams to deliver reliable, scalable, and production‑ready solutions.

Required Skills

• Strong software engineering experience across the software development lifecycle (SDLC).
• Strong experience with DevOps practices and CI/CD pipeline development.
• Hands‑on experience with GitHub Actions and Jenkins.
• Experience with Docker or Kubernetes.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
• Understanding of application and system design patterns.
• Experience working in Agile/Scrum environments.
• Strong analytical, communication, ownership, and problem‑solving skills.

Job Type: Full Time

Job Category: IT

Job Description

Job Title: AI Platform Engineer with DevOps Experience
Job Type: Full Time
Location: Halifax (Onsite 4 Days)

Job Description

We are seeking an experienced AI Platform Engineer with DevOps Experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The ideal candidate will have strong software engineering skills, hands‑on experience with CI/CD pipelines, and knowledge of LLMOps and MLOps frameworks for deploying and managing AI-powered applications.

Key Responsibilities

• Develop value-added services that integrate with existing DevOps platforms and tools.
• Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs).
• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services to support enterprise application teams.
• Coach application teams on DevOps tools, automation, and best practices.
• Promote developer experience, engineering excellence, and continuous improvement.
• Participate in proof of concepts (POCs), evaluate new tools, and recommend suitable technologies.
• Enhance and evolve DevOps services to meet application team requirements.
• Collaborate with cross-functional teams to deliver reliable, scalable, and production‑ready solutions.

Required Skills

• Strong software engineering experience across the software development lifecycle (SDLC).
• Proficiency in one or more programming languages, including Java, Python, JavaScript/TypeScript, C#, or C/C++.
• Strong experience with DevOps practices and CI/CD pipeline development.
• Hands‑on experience with GitHub Actions and Jenkins.
• Experience with Docker or Kubernetes.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
• Understanding of application and system design patterns.
• Experience working in Agile/Scrum environments.
• Strong analytical, communication, ownership, and problem‑solving skills.