Applied AI & Platform Engineer

As an Engineer in our newly established and rapidly growing AI team, you will build and operationalize high-value AI workflows across business use-cases, product integrations, and internal data intelligence (Data Lake). You will help extend our AI platform and shared services by delivering production-grade capabilities on our Azure infrastructure, integrating LLM functionality into reliable, secure, and observable systems, including scoped agent workflows that can be shipped, monitored, and iterated quickly.

Requirements

• 5-10 years professional software engineering experience
• Strong Python (services, APIs, testing)
• Cloud infrastructure experience (Azure preferred)
• CI/CD experience (Git-based pipelines, automated tests, deployment gates, rollback awareness)
• Strong testing, documentation, and operational discipline
• Data engineering fundamentals (schemas, pipelines, quality checks) within governed environments
• Infrastructure as Code (Bicep/Terraform), containerization (Docker), and API management patterns
• Agentic patterns (tool use, orchestration, state management) and practical guardrails
• Microsoft Graph and/or strong enterprise identity/API permissioning patterns

Benefits

• Competitive salary (depends on experience)
• 28 days holiday
• Discretionary bonus
• Annual salary review
• Pension (company contribution: 5% of annual salary)
• Extensive investment in personal development & learning
• Enhanced maternity and paternity leave (depending on length of service) and shared parental leave
• Private medical insurance
• Group Income protection
• Life assurance
• Cycle to work schemes
• Season ticket loans
• Regular social, cultural and charitable activities