On-site

AI Platform Engineer

Ireland, Ireland

full-timeOn-sitePosted 3 Sept 2026

KubernetesMLOpsVector DatabasesSystem Design

We are seeking an AI Platform Engineer to build compute platforms, vector datastores, and infrastructure optimized for training and serving AI models. Tech stack: Python, Kubernetes, MLOps, Vector Databases (Milvus/Qdrant), GPU Management, Ray, Docker, Triton What you will work on: - Build and operate distributed GPU compute clusters for model training and high-throughput inference serving. - Deploy and maintain enterprise vector database installations and high-speed semantic index platforms. - Develop custom platform abstractions, APIs, and CLI tools enabling machine learning teams to ship models seamlessly. - Optimize model serving engines (Triton/vLLM) for ultra-low latency and efficient hardware utilization. What we are looking for: - Hands-on experience engineering infrastructure platforms for ML/AI workloads and GPU orchestration. - Advanced mastery of Kubernetes, Docker containerization, vector datastores, and high-performance serving frameworks. - Strong background in Python, distributed compute execution, and Linux systems administration.

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