AI Platform Engineer – LLM Infrastructure

Talenzon group; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology consulting firm in London seeks an AI Platform Engineer to build and maintain infrastructure for LLM deployment and inference. The ideal candidate will possess strong experience with cloud platforms like AWS, Docker, and Python programming. You'll collaborate closely with AI engineers and data scientists while implementing monitoring and optimising AI workloads. This position requires a dedicated professional focused on scalable AI systems. The role offers a full-time position on-site in the vibrant city of London.

Qualifications

• Strong experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with containerisation using Docker and orchestration via Kubernetes.
• Strong programming skills, preferably in Python.

Responsibilities

• Build and maintain infrastructure for LLM deployment and inference.
• Collaborate with AI engineers to productionise models.
• Implement monitoring and observability for AI systems.

Skills

Cloud platforms (AWS, Google Cloud, Azure)

Containerisation (Docker)

Orchestration (Kubernetes)

Programming (Python)

Scalable backend systems design

Job 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