GenAI Platform Engineer – DevOps, Kubernetes, LLMOps & GitHub Actions
Build and operate enterprise AI/GenAI platforms and develop LLMOps/MLOps frameworks for deployment and governance. Create RAG services, inference APIs, and CI/CD pipelines while coaching application teams on DevOps practices.
- Hybrid
- Halifax, NS
- Posted Aug 19, 2026
- Apply by Sep 18, 2026
- 1 position
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Job summary
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
What you’ll do
Build and operate enterprise AI/GenAI platforms and develop LLMOps/MLOps frameworks for deployment and governance. Create RAG services, inference APIs, and CI/CD pipelines while coaching application teams on DevOps practices.
Requirements
Requires strong expertise in GenAI, LLMOps, Kubernetes, and Docker. Proficiency in Python or TypeScript and experience with GitHub Actions and Agile methodologies are essential.
Listed skills
- KubernetesPreferred
- CI/CDPreferred
- DockerPreferred
- ScrumPreferred
- AgilePreferred
- TypeScriptPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- GenAI
- LLM
- LLMOps
- MLOps
- Python
- TypeScript
- Docker
- Kubernetes
- GitHub Actions
- CI/CD
- DevOps
- SDLC
- Agile
- Scrum
- System Design
- RAG
Job areas
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 18, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available