Senior AI Platform Engineer

Senior AI Platform Engineer | Manchester City Centre (on-site) | Up to £100,000

I'm working with a leading technology business looking for an AI Platform Engineer to help build and scale the platform behind its conversational AI products and wider AI initiatives.

This is a hands-on engineering role focused on taking AI solutions beyond proof of concept and making them reliable, scalable and production-ready. You'll be working across LLMs, Retrieval-Augmented Generation (RAG), vector search and cloud infrastructure, helping build the foundations that will support multiple AI-powered products.

The role has a strong Microsoft Azure focus, including Microsoft Foundry, and would suit someone who combines solid software or platform engineering experience with a genuine interest in building and operating AI systems in production.

What you'll be doing:

• Building and optimising production RAG pipelines, retrieval systems and LLM orchestration.
• Developing scalable, reusable AI platform components to support existing and future products.
• Working with Microsoft Foundry and Azure cloud services to deploy and operate AI solutions.
• Improving the performance, accuracy, latency and reliability of AI workloads.
• Building and maintaining infrastructure using Terraform and supporting containerised applications.
• Developing CI/CD pipelines and automating data ingestion, embedding generation and vector index maintenance.
• Implementing monitoring, logging and tracing to give visibility into system performance, usage and cost.
• Improving security, governance and evaluation processes across AI systems.
• Working closely with AI Engineering, DevOps and Security teams to take prototypes through to production.

What we're looking for:

• Strong experience in software, platform or infrastructure engineering within production environments.
• Hands-on experience with Microsoft Azure and cloud-native services.
• Proficiency in Python.
• Experience with RAG, LLM integrations, retrieval pipelines or AI-enabled platforms.
• Experience with vector databases or search technologies such as OpenSearch.
• Knowledge of infrastructure-as-code using Terraform and deploying containerised applications.
• Experience building and maintaining CI/CD pipelines and production data workflows, including Azure Data Factory.
• A solid understanding of APIs, microservices and cloud-native architecture.
• A focus on reliability, scalability, performance and operational excellence.

If you're an engineer who enjoys solving complex platform challenges and wants to work on the infrastructure that makes AI work reliably at scale, I'd be keen to have a conversation.

Drop me a message or apply below to find out more.