GenAI Platform Engineer – DevOps, Kubernetes, LLMOps & GitHub Actions
Offre en anglaisBuild 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.
- Hybride
- Halifax, NS
- Publié 19 août 2026
- Postuler avant le 18 sept. 2026
- 1 poste
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Résumé du poste
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
Ce que vous ferez
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.
Exigences
Requires strong expertise in GenAI, LLMOps, Kubernetes, and Docker. Proficiency in Python or TypeScript and experience with GitHub Actions and Agile methodologies are essential.
Compétences indiquées
- KubernetesSouhaitée
- CI/CDSouhaitée
- DockerSouhaitée
- ScrumSouhaitée
- AgileSouhaitée
- TypeScriptSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- GenAI
- LLM
- LLMOps
- MLOps
- Python
- TypeScript
- Docker
- Kubernetes
- GitHub Actions
- CI/CD
- DevOps
- SDLC
- Agile
- Scrum
- System Design
- RAG
Domaines d’emploi
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 18 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 4 jours par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte