A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring an AI Engineer to help design and operate the core systems.

This role is focused on building and operationalising AI systems. You'll be responsible for turning large language models into reliable, observable, and continuously improving production systems.

You'll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real-world conditions, with clear monitoring, feedback loops, and safeguards.

You'll work closely with product, engineering, and commercial teams to translate complex workflows into AI-driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment.

• Experience in deploying AI-powered systems into production
• Strong experience in Python
• Practical experience with RAG architectures
• Clear communication and strong problem-solving instincts

If you are looking for a new challenge, then please submit your CV for initial screening and more details.