GenAI Platform Engineer – DevOps, Kubernetes, LLMOps & GitHub Actions

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Halifax; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

Astra-North Infoteck Inc. in Halifax, NS is seeking an AI Platform Engineer to build and operate enterprise GenAI, LLM, and MLOps platforms. The role emphasizes DevOps, containerization, and scalable AI services in a hybrid work setup.

You will develop and maintain LLMOps frameworks, RAG services, and CI/CD pipelines, while guiding teams on best DevOps practices and automation. Halifax-based, hybrid work four days in-office.

Qualifications

• GenAI / LLM / LLMOps / MLOps expertise required.
• Proficiency with Python or TypeScript/JavaScript.
• Experience with Docker and Kubernetes.
• Experience with GitHub and GitHub Actions.
• CI/CD and DevOps practices.
• SDLC and Agile/Scrum experience.
• Application/system design patterns.

Responsibilities

• Build and operate enterprise AI/GenAI and LLM platforms.
• Develop LLMOps/MLOps frameworks for deployment and governance.
• Create RAG, embedding/vector search, AI Gateway and APIs.
• Develop CI/CD pipelines using GitHub Actions and Jenkins.
• Support Docker, Kubernetes, and distributed apps.
• Coach application teams on DevOps practices.
• Evaluate new tools and drive automation and platform improvements.

Skills

GenAI / LLM / LLMOps

Python

TypeScript/JavaScript

Docker

Kubernetes

GitHub Actions

CI/CD

DevOps

SDLC / Agile

Architectural patterns

Tools

Jenkins

UrbanCode Deploy

Elasticsearch

Kibana

Ansible

Job description

AI Platform Engineer – GenAI, LLMOps & DevOps

Location: Halifax, NS | Hybrid: 4 Days WFO

Role Summary

Seeking an AI Platform Engineer with strong DevOps, GenAI/LLM, Kubernetes, Docker, and CI/CD experience to build and operate enterprise AI platforms and reusable AI services.

Responsibilities

• Build and operate enterprise AI/GenAI and LLM platforms.
• Develop LLMOps/MLOps frameworks for deployment, monitoring, versioning, evaluation, and governance.
• Build RAG, embedding/vector search, AI Gateway, inference APIs, and Agentic AI services.
• Develop CI/CD pipelines using GitHub Actions, Jenkins, Python, TypeScript, and Groovy.
• Support Docker, Kubernetes, and distributed applications.
• Coach application teams on DevOps practices and developer experience.
• Evaluate new tools and drive automation and platform improvements.

Must-Have Skills

• GenAI / LLM / LLMOps / MLOps
• Python or TypeScript/JavaScript
• Docker / Kubernetes
• GitHub / GitHub Actions
• CI/CD / DevOps
• SDLC and Agile/Scrum
• Application/system design patterns

Nice-to-Have

• Azure / AWS
• Jenkins / UrbanCode Deploy
• Elasticsearch / Kibana
• Ansible
• RAG, Vector Search, Embeddings, Agentic AI