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# AI Platform Engineer - LLM Infrastructure

- **Company:** Talenzon group
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Monitoring of Systems, Python (Programming Language), Search Technologies, Web Services, Google Cloud, Large Language Models, Generative AI, Backend, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Docker
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815180052-ai-platform-engineer--llm-infrastructure

## About the Role

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
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## 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


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