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