Founding Research Engineer

About Ontologic Intelligence Large language models have impressive intelligence but remain limited in their reasoning capabilities. We believe causal reasoning and active inference will be a cornerstone of artificial intelligence. LLMs get causal questions right when the answer is already in their training data, but often fall apart on novel or complex systems. The industry is converging on the idea that LLMs need a causal substrate, but nobody has built a scalable industry-standard causal substrate yet. Ontologic Intelligence is building scalable persistent causal reasoning infrastructure: the layer between raw data and AI that encodes cause-and-effect with uncertainty, provenance, and support for dynamic, messy real-world structure. With several provisional patents filed, we're founding a team now from Barcelona. What you'd work on Develop and implement novel methods for causal reasoning over dynamic systems with conflicting evidence Design and implement a causal graph compiler that ...