Enterprise autonomous agents need to know what things mean — not just what they are. As a Knowledge & Ontology Engineer, you will build the formal knowledge structures that constrain, guide, and make trustworthy the decisions that our AI agents execute on behalf of clients.
You should have hands-on experience designing ontologies in OWL/RDF, querying knowledge graphs with SPARQL, and using tools like Protégé or TopBraid. Understanding of description logics, closed-world vs open-world assumptions, and how to integrate ontologies with LLM reasoning pipelines is essential. Experience with enterprise data modelling, SHACL validation, or computational contract representation is a significant advantage.
At Novnex we do not believe in degree of your qualification but focus on the degree of skills you bring to the table. We offer an open, politics-free setting that focuses only on learning and getting things done in the minimum time possible.
We are currently recruiting people with minimum 3 years of experience in knowledge engineering, semantic web, or enterprise data architecture.
📌 Knowledge & Ontology Engineer (India)
🏢 NOVNEX
📍 India
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