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Added 7 mins ago
Staff Engineer / AI Builder - Toronto
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Toronto, ON
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Senior AI Engineer
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Added 8 hours ago
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Development Ops Engineer
Jobgether
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Added 8 hours ago
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Senior Software Engineer
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As a Senior Software Engineer, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing technical…
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AceStack

AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE

Halifax, NS, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Title: AI Platform Engineer – DevOps Experience

Location: Halifax, Nova Scotia

Work Arrangement: Onsite – 4 Days a Week

Job Summary

We are looking for an experienced AI Platform Engineer with strong DevOps expertise to design, develop, and maintain enterprise-grade AI/GenAI platforms while enhancing existing DevOps capabilities.

The ideal candidate will have hands-on experience in software engineering, CI/CD automation, cloud-native technologies, and DevOps practices, along with knowledge of AI/ML platforms, LLMOps, and MLOps.

This role involves building scalable AI platform services, automating deployment workflows, improving developer experience, and enabling application teams to adopt modern DevOps and AI engineering practices.

Key Responsibilities

•

Design, develop, and maintain enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.

•

Build and enhance CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.

•

Develop reusable DevOps services and integrations to extend existing DevOps toolchains.

•

Design and implement scalable LLMOps and MLOps frameworks covering:

◦

Model deployment and versioning

◦

Model monitoring and evaluation

◦

Governance and lifecycle management

•

Build reusable AI platform components and services to support application development teams.

•

Improve automation, deployment efficiency, and developer experience across the software development lifecycle.

•

Collaborate with application teams to promote DevOps best practices and adoption of enterprise platform services.

•

Evaluate and adopt new tools and technologies through proof of concepts (POCs) and technical recommendations.

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Continuously improve existing DevOps services, platform capabilities, and engineering standards.

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Work in an Agile/Scrum environment and collaborate with cross-functional engineering teams.

Required Technical Skills & Experience

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Strong software engineering experience across the full Software Development Lifecycle (SDLC).

•

Hands-on development experience with one or more programming languages:

◦

Java

◦

Python

◦

JavaScript / TypeScript

◦

C / C++

•

Strong experience with CI/CD pipeline development and DevOps automation.

•

Hands-on experience with GitHub Actions and Jenkins.

•

Experience with Docker and/or Kubernetes.

•

Understanding of application architecture, system design, and common design patterns.

•

Knowledge of AI/GenAI platforms, Large Language Models (LLMs), LLMOps, and MLOps.

•

Understanding of model deployment, monitoring, versioning, evaluation, and governance.

•

Experience working with Agile methodologies, particularly Scrum.

Preferred Skills

•

Experience building or supporting enterprise AI/GenAI platforms.

•

Exposure to LLM deployment, orchestration, and lifecycle management.

•

Experience integrating AI/ML services into existing DevOps and CI/CD ecosystems.

•

Experience developing reusable platform engineering solutions and automation frameworks.

•

Strong understanding of developer experience (DevEx) and platform engineering principles.

Candidate Profile

•

Strong analytical and problem-solving abilities.

•

Excellent communication and collaboration skills.

•

Self-driven with a strong sense of ownership and accountability.

•

Ability to work with application teams and provide technical guidance.

•

Passion for automation, platform innovation, and continuous improvement.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain enterprise AI/GenAI platform services and scalable LLMOps and MLOps frameworks, including model deployment, versioning, monitoring, evaluation, and governance. Enhance CI/CD automation and DevOps toolchains, create reusable platform components, and collaborate with application teams to improve developer experience and adoption of platform services.

Requirements

Requires strong software engineering and SDLC experience, hands-on CI/CD and DevOps automation experience, and experience with GitHub Actions, Jenkins, and Docker and/or Kubernetes. Candidates should understand AI/GenAI platforms, LLMs, LLMOps, MLOps, model lifecycle practices, application architecture, and Agile/Scrum; no education requirement is stated.

Skills

AI Platform Engineering
DevOps
CI/CD
GitHub Actions
Jenkins
Python
TypeScript
Groovy
Docker
Kubernetes
LLMOps
MLOps
Large Language Models
Model Deployment
Model Monitoring
Agile/Scrum

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineering
DevOps
Generative AI
Large Language Models
LLMOps
MLOps
CI/CD
GitHub Actions
Jenkins
TypeScript
Python
Groovy
Java
JavaScript
C#
C
C++
Docker
Kubernetes
Platform Engineering
Developer Experience
Model Deployment
Model Versioning
Model Monitoring
Model Evaluation
Model Governance
Lifecycle Management
Agile
Scrum

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