The AI operating system for drug development.
London, England
The AI operating system for drug development.
On-site · Engineer
The Lead DevOps Engineer will own the end-to-end infrastructure, focusing on GitOps deployment and Kubernetes on AWS. They are responsible for creating isolated, compliant environments for pharma customers and ensuring high security and observability standards.
On-site · Engineer
Develop end-to-end AI-powered scientific workflows, including agentic systems, retrieval, and tool integration. Build evaluation and trust surfaces to ensure AI reasoning is measurable and verifiable for pharmaceutical scientists.
