AI Platform Engineer (DevOps / MLOps Focus)

We''re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.You''ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.You''ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.What You''ll Be DoingDesign and optimise scalable RAG pipelines and vector search systemsOrchestrate multi-model AI services with a focus on latency, resilience and performanceProductionise GenAI workflows and ensure they operate reliably under real usageBuild and run AI services across AWS and DatabricksDevelop ingestion, embedding and retrieval pipelinesDeploy containerised workloads via Kubernetes and HelmImplement Infrastructure-as-Code using TerraformIntroduce end-to-end monitoring, tracing and alerting for AI ..... full job details .....