AI Engineer (Advanced) 3248

About the position

We are looking for a Platform Engeer with a focus on AI topics.



Day to Day Cloud operations.



Desing, Build and Test New Cloud Configurations.



Optimize Performance, Operational Excellence and Costs within our teams cloud environments



Developer Support regarding Planform Topics.



Desing, Build and Test AI services using REST and BMW Managed LLM’s



Host, Manage and Tune deployed LLMs in Kubernetes GPU Enabled node pool



Desing, Build and Test an AI RAG using vector database


Minimum Requirements:

SKILLS REQUIREMENTS:



 



Qualifications/Experience:



Relevant IT Degree



5 Years plus in Essential Skills as a Platform or DevOps Engineer.



 



Essential Skills Requirements:



Cloud: Azure (AZ-104).



Databases: SQL Language using PostgreSQL.



Container Orchestration: Kubernetes (CKAD).



Infrastructure as Code: Terraform/Open Tofu.



Programming Languages: Python.



Templating Tools: Helm, Kustomize.



Operating Systems: Advanced Linux.



Version Control: Advanced Git and GitHub Enterprise.



CI/CD: Create, Manage and support Shared Workflows.



Monitoring: Grafana, Loki, Prometheus.



 



Advantageous Skills Requirements:



AI Topics:



CoPilot, Claude Code.



MCP Model Context Protocol.



Lang Chain.



Lang Graph.



Lang Smith.



Orchestration models in Kubernetes using GPU accelerated node pools.



BMAD Method.



Vector Databases.



Platform Topics:



Fast Api



SQL alchemy / SQL Model

Desired Skills:

• SQL Language using PostgreSQL
• Azure (AZ-104)
• Kubernetes (CKAD)