Senior AI Research Engineer - Knowledge GraphsOffice:Austin

Key Responsibilities: Design and Ontology Engineering: Design and evolve the formal ontology and semantic models (e.g., RDF, OWL) for our knowledge graph, accurately capturing complex domain knowledge and relationships. Graph Development & Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune).Querying and Analytics: Write complex, high-performance graph queries (e.g., Cypher, SPARQL) Collaboration: Work closely with Data Scientists, ML Engineers, Product Managers, and domain experts to translate business requirements into technical knowledge graph solutions that power search, recommendations, and AI/ML applications. Performance Tuning: Monitor, analyze, and optimize the performance of the graph database and associated pipelines for scalability and real-time query speed.

Essential Requirements: Minimum of 3+ years of hands-on experience in designing and implementing large-scale Knowledge Graphs in a production environment. Deep expertise in ontology engineering, semantic modeling, and experience with standards like RDF, RDFS, OWL, and SPARQL.Proficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune).Practical experience integrating LLMs with Knowledge Graphs (e.g., RAG, KG-powered AI agents).Strong programming skills in languages essential for data engineering, primarily Python. Experience applying NLP techniques for text processing and structuring (NER, relation extraction).Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, agile environment. Excellent communication skills and ability to articulate complex AI concepts to diverse audiences.

Desired Skills: (A Plus):Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field. Contributions to research (publications in top-tier conferences) or open-source projects. Experience with Google Cloud Platform and Vertex AIKnowledge of Natural Language Processing (NLP) techniques for information and entity extraction to populate the knowledge graph. Familiarity with Graph Machine Learning (e.g., GNNs - Graph Neural Networks).

Why Join Us? Work alongside top talent, united by a shared purpose and committed to making a real impact. Comprehensive private health coverage to ensure your physical and mental well-being. Company-sponsored gym membership to support your fitness goals. Hybrid work model offering flexibility to balance your professional and personal life. Coffee, tea, beverages, and snacks to keep you fueled throughout the day. Company events to celebrate achievements and enjoy time together. Get equipped with a MacBook to enhance your productivity and work experience.