AI Platform Engineer

Supporting implementation of AIDA’s AI Platform on RE:AI’s IaaS using Red Hat OpenShift or equivalent container platforms Integrating core platform components such as API Gateway, RAG pipelines, agent orchestration, and observability stacks Assisting in deployment and management of OpenShift clusters (CPU/GPU), including operators, networking, and security configurations Automating platform provisioning and operations using Infrastructure-as-Code (IaC), CI/CD pipelines, and standardized deployment patterns Integrating platform capabilities with enterprise infrastructure including networking, storage, load balancers, and backup systems Implementing platform security controls (IAM/AD, SIEM, NGFW, EDR) in alignment with enterprise standards Supporting AI/ML workloads including GenAI, LLM serving, RAG pipelines, and agentic frameworks Contributing to platform monitoring, logging, performance tuning, and capacity planning Skills for Success: Bachelor’s degree in Computer Science, Engineering, or a related field 3+ years of experience in platform engineering, cloud-native infrastructure, or AI/data platform roles Hands-on experience with Kubernetes/OpenShift (e.g., operators, networking, security) Familiarity with Infrastructure-as-Code (IaC) and DevOps/CI/CD practices Basic understanding of cloud/IaaS networking and security principles Exposure to AI/ML platform components such as LLMs, RAG, or similar frameworks Strong problem-solving skills with a proactive learning mindset Effective collaboration and communication skills Good to have: Red Hat, Kubernetes, or OpenShift certifications