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Net2Source (N2S)

AI Platform Engineer with DevOps Experience

Halifax, NS, Canada

Job type: Contract
Apply by: Oct 17, 2026
Experience: · 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python
Posting language: English
Posted: Sep 17, 2026

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Original job description

AI Platform Engineer with DevOps Experience

Halifax, NS- Hybrid (4 Days WFO)

6-12 months

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

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:

· An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive

· 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python

· 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:

· Prompt Management Frameworks

· 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

Apply About employer

More about this job

Responsibilities

You will develop and integrate value-add services into the DevOps stack while championing developer best practices across teams. Additionally, you will design and operate enterprise AI/GenAI platforms, including LLMOps frameworks and RAG architectures.

Requirements

Candidates must have at least 2 years of development experience in languages like Python, Java, or TypeScript and possess strong knowledge of Docker or Kubernetes. An engineering mindset with experience in SDLC and production-class delivery is essential for this role.

Skills

DevOps
Docker
Kubernetes
GitHub Actions
Python
TypeScript
Java
LLMOps
MLOps
RAG
Prompt Management
Jenkins
Agile
System Design
Infrastructure
GenAI

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Docker
Kubernetes
GitHub Actions
Python
TypeScript
Java
GenAI
LLM
LLMOps
MLOps
RAG
Jenkins
Agile
Scrum
Infrastructure
Vector Search
Inference APIs
Agentic AI
SDLC
Elastic Search
Kibana
Azure
AWS
Distributed Applications
Capital Markets
Automation
CICD
Groovy
Software Product Design

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