Job Description

Posted 55 minutes ago

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