Our Opportunity: 

Some people see data as a collection of facts and figures. You see it as a network of opportunities—a vast web of interconnections waiting to be organized, optimized, and brought to life. You’re the kind of person who loves the challenge of turning chaos into clarity, and you’re always two steps ahead of the problem you’re solving.

As a Recurrent Knowledge Graph Principal, you’ll design and implement knowledge graphs that aren’t static but self-improving. Working with technologies like Neo4j and frameworks like RDF, you’ll build data structures that update in real-time, feeding into AI models and analytics systems without skipping a beat. Your role will be to bridge the gap between technical possibility and practical application, ensuring the systems you design are as useful as they are innovative.

You’ll be knee-deep in semantic modeling, ensuring standards like OWL are applied with precision. You’ll fine-tune pipelines that convert raw data into relational intelligence and optimize performance at every turn. This is a role for someone who wants to build systems that aren’t just efficient but elegant, with a purpose and a future.

The Ideal Candidate Has:

• 5+ years of experience designing and implementing graph-based systems.
• Hands-on expertise with technologies like RDF, OWL, or Neo4j and a knack for making them sing.
• Proficiency in Python, Java, or another language capable of handling large-scale data workflows.
• A proven track record of integrating graph systems into AI or analytics pipelines.