AI Platform Engineer

Independent Consultant position Remote - Poland 40 hour working week Starting immediately We are seeking a skilled AI Platform Engineer with 4–6 years of experience in designing, implementing, and maintaining the infrastructure, platforms, and tools required to support enterprise AI, Machine Learning, Generative AI, and Agentic AI solutions. The role will build scalable, secure and reliable AI platforms that enable Data Scientists, AI Engineers, and Developers to efficiently develop, deploy, monitor, and manage AI workloads. The Engineer will design, deploy, and operate containerized AI and Generative AI platforms using Kubernetes and Red Hat OpenShift, enabling enterprise-grade delivery across cloud and hybrid environments. The role includes support for GenAI application hosting, LLM inference workloads, Retrieval-Augmented Generation (RAG), AI agents, and API-based AI services. The successful candidate will collaborate with AI Architects, Data Engineers, Security Teams, and Cloud Engineering teams to establish enterprise-grade AI capabilities and operational excellence. Key Deliverables Enterprise AI platform infrastructure and operating environments built across cloud, hybrid, Kubernetes, and OpenShift platforms.Build, deploy, monitor, and support containerized GenAI applications, model-serving services, AI APIs, and inference platforms using OpenShift and Kubernetes.Maintain model registries, artifact repositories, pipeline services, development tools, and runtime environments.Automate environment provisioning, configuration management, dependency management, and onboarding.Ensure platform stability, supportability, and operational readiness. Required Skills & Experience 4–6 years of experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure Engineering, or related roles.Automated platform provisioning, configuration, container build, and deployment framework.AI/ML CI/CD, GitOps, and MLOps pipeline capabilities.Secure, scalable containerized GenAI application hosting for RAG, AI agents, LLM inference, and AI APIs.Monitoring, observability, reliability, and incident-management framework.Secure and compliant AI platform controls.Operational runbooks, platform standards, support documentation, and knowledge transfer.Platform performance, capacity, GPU utilization, and cost-optimization recommendations. Preferred Qualifications Experience supporting Generative AI and Agentic AI platforms.Hands-on experience building and deploying containerized GenAI applications, RAG solutions, AI agents, and LLM-powered services on OpenShift or Kubernetes platforms.Exposure to Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and Azure AI Search.Experience with OpenShift AI, KServe, model-serving frameworks, vector databases, prompt orchestration, and enterprise GenAI operational frameworks.Experience with Databricks, Snowflake, or enterprise data platforms.Familiarity with GPU-based workloads, LLM inference, model-serving environments, Helm, Argo CD, and service mesh technologies such as Istio.Azure Administrator, Azure DevOps Engineer, Red Hat OpenShift, Kubernetes, Terraform, or related cloud certification. If this sounds like an opportunity for you, please apply now - our client is looking to onboard immediately!