AI Platform Engineer – LLM Infrastructure

{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “AI Platform Engineer – LLM Infrastructure”, “description”: “# AI Platform Engineer – LLM Infrastructure,April 13, 2026### Job Description**Location:** London, UK **Work Model:** On-site **Role Type:** Full-TimeWe are looking for an **AI Platform Engineer** with strong experience in LLM infrastructure and scalable AI systems to join our client’s on-site team in London.This role focuses on building and maintaining internal platforms that power Generative AI applications, enabling scalable model deployment, inference, and experimentation.—### **What You’ll Do*** Build and maintain infrastructure for LLM deployment and inference* Develop scalable systems for embeddings, vector search, and RAG pipelines* Design APIs and services for AI model consumption* Optimise performance, latency, and cost of AI workloads* Collaborate with AI engineers and data scientists to productionise models* Implement monitoring and observability for AI systems* Support experimentation and model lifecycle management—### **What We’re Looking For**#### **Required Skills & Experience*** Strong experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure* Experience with containerisation using Docker and orchestration via Kubernetes* Experience working with LLMs, embeddings, and vector databases* Strong programming skills (Python preferred)* Experience designing scalable backend systems—#### **Nice to Have*** Experience with RAG architectures and GenAI frameworks* Familiarity with model serving frameworks and inference optimisation* Knowledge of MLOps workflows—Location: London, UK Work Model: On-site Role Type: Full-TimeLocation,Experience levelMid–Senior level## Work Location#J-18808-Ljbffr”, “datePosted”: “2026-04-22”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Talenzon group”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__409711543__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }