We are building the mandatory execution pathway for enterprise AI, the enforcement layer that sits directly in the execution path. We are looking for engineers, researchers, and designers who care about what AI does, not just what it can do.
There is no production-grade mandatory enforcement layer for enterprise AI. Every major deployment in a regulated organisation has this gap. You are building the first system that closes it.
The reasoning model we publish is the same one running in the enforcement pipeline. There is no gap between research and product here.
Financial services, legal teams, regulated enterprises. The enforcement decisions your code makes protect real money, real client relationships, and real regulatory obligations.
The team is small by design. Every person owns a substantial part of the system, with no handoffs and no tickets lost in a backlog. You see what you built running in production.
Remote-first, with every role owning a substantial part of the system. If none of these fit exactly and you would still build here, tell us anyway.
Design and implement advanced reasoning architectures for large language models. Focus on multi-path analysis, self-verification, and domain-grade reliability.
Conduct fundamental research into LLM calibration, hallucination reduction, and formal verification techniques for neural symbolic systems.
Build the core Xybern workspace, focusing on high-performance data visualization, collaborative reasoning tools, and audit-ready export systems.
Design intuitive interfaces for complex AI workflows. Create tools that help users navigate deep reasoning paths and audit trails with clarity.
Lead our engagement with top-tier law firms and financial institutions. Drive adoption of verified reasoning in mission-critical environments.
Partner with enterprise clients to integrate Xybern into their existing data ecosystems and workflows. Ensure technical success and ROI.
We are always interested in exceptional people building enforcement infrastructure. Tell us what you would build, and why here.
Xybern