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

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