Ai engineer
Summary
Senior AI engineer builds and deploys AI services, LLMs, and RAG pipelines on Azure Kubernetes, optimizing cloud costs and performance while supporting platform operations.
Job Description
We're on the hunt for a Senior AI Engineer who loves building smart platforms, wrangling cloud infrastructure, and bringing AI ideas to life. This role sits at the intersection of AI, cloud engineering, and platform reliability, perfect for someone who enjoys both deep technical challenges and creative problem-solving.
You’ll be working in a highly collaborative, fast-moving environment where innovation isn't a buzzword, it's the job.
Requirements Cloud: Azure (AZ-104) Databases: SQL Language using Postgre SQL 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 Git Hub Enterprise CI/CD: Create, Manage and support Shared Workflows Monitoring: Grafana, Loki, Prometheus We are looking for a Platform Engineer with a focus on AI topics. Day to Day Cloud operations. Design, Build and Test New Cloud Configurations. Optimize Performance, Operational Excellence and Costs within our teams cloud environments Developer Support regarding Planform Topics. Design, Build and Test AI services using REST and BMW Managed LLM's Host, Manage and Tune deployed LLMs in Kubernetes GPU Enabled node pool Design, Build and Test an AI RAG using vector database