AI Platform Engineer LLMs | RAG | Python | Cloud Infrastructure Manchester City Centre - 5 days a week onsite Up to £100,000 DOE The Opportunity We're looking for an AI Platform Engineer to build, optimise and maintain the infrastructure behind a growing portfolio of AI-powered applications. You'll focus on developing scalable, reliable services supporting large language models (LLMs), retrieval-augmented generation (RAG), intelligent search and conversational AI. You'll take ownership of existing solutions while helping bring new AI capabilities into production. Key Responsibilities - Design, build and optimise production-grade AI platforms, RAG pipelines and LLM integrations. - Develop scalable cloud-native services and backend infrastructure using Microsoft Azure. - Improve the performance, reliability and latency of AI applications and retrieval workflows. - Manage infrastructure-as-code using Terraform and support containerised deployments. - Build CI/CD pipelines and automate data ingestion, embedding generation and vector indexing. - Implement monitoring, logging, tracing and performance optimisation across AI workloads. - Apply security, access controls, versioning and governance best practices. - Collaborate with AI, software engineering, DevOps and security teams to deliver production-ready solutions. Skills & Experience - Strong Python development skills. - Commercial experience delivering solutions using Microsoft Azure. - Experience with data integration and ETL pipelines, such as Azure Data Factory. - Familiarity with vector databases or search technologies, such as OpenSearch. - Experience with Terraform, infrastructure-as-code and containerised applications. - Understanding of APIs, microservices and cloud-native architecture. - Experience supporting production systems, with a focus on scalability, reliability and performance. Desirable Experience - Building or supporting production AI applications using LLMs and RAG. - Experience with embedding models, vector search and LLM orchestration. - Familiarity with observability tooling such as OpenTelemetry. - Experience taking AI prototypes and proof-of-concepts into production. The Ideal Candidate A proactive engineer with a strong sense of ownership, excellent problem-solving skills and the ability to turn emerging AI capabilities into reliable, scalable production services. Sponsorship is not available
AI Platform Engineer employer: Morson Edge
As a leading player in the Energy Sector, our company offers an exceptional work environment in Bridgwater, Somerset, where you can thrive as a Welding / NDT Field Engineer. We pride ourselves on fostering a collaborative culture that prioritises employee growth and development, alongside competitive daily rates and the potential for contract extensions until December 2026. Join us to be part of a dynamic team dedicated to making a meaningful impact in the energy industry.
