AI Platform Engineer

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.

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