Lead Engineer - Consumer Intelligence & Engagement

Overview

Lead Engineer for Consumer Intelligence & Engagement, providing technical leadership to build production-grade backend services for personalization and recommendation across digital channels.

What you'll do

• Lead design and development of personalisation and recommendation services and applications.
• Own technical architecture, engineering standards, and key technology decisions for model serving and recommendation platforms.
• Design and build scalable, low-latency APIs, event-driven services, and integration layers for real-time and batch use cases.
• Partner with AI/ML and Data Engineering teams to deploy ML models and recommendation algorithms.
• Design and implement model serving, inference, feature access, and experimentation capabilities for personalisation and recommendations.
• Integrate LLM APIs and AI services into production applications for intelligent consumer experiences.
• Drive engineering excellence through architecture reviews, code reviews, mentorship, and continuous improvement.

What you'll need

• 10+ years designing and building large-scale distributed backend systems on cloud-native platforms.
• 3+ years leading a technical capability, project, or engineering team.
• Hands-on experience building and operating recommendation systems and personalisation capabilities.
• Experience with production ML integration patterns including model serving, inference, experimentation, feature access, observability, and operationalisation.
• Experience building model serving and inference integration layers for real-time and batch prediction workloads.
• Experience integrating and operationalising LLM APIs and AI services within production applications.
• Backend engineering and API design experience using Java, Spring Boot, and related frameworks.