About the Role
Partnering with a Leading Financial Services Organization, we are looking for a Graph AI Engineer (1-Year Contract, Extend/Perm) to develop and enhance a Knowledge Graph platform. You will work across LLMs, Knowledge Graphs, and Ontologies to build scalable and reliable AI solutions.
Responsibilities
- Build and improve LLM-based extraction solutions to identify entities, relationships, and key information from documents.
- Develop and maintain knowledge graph, ontology, and semantic data models using technologies such as RDF, OWL, and SHACL.
- Design and support graph ingestion, querying, and retrieval solutions using Neo4j/FalkorDB, Cypher, and GraphRAG architectures.
- Improve data quality through validation, testing, monitoring, and entity resolution techniques.
- Collaborate with engineers and stakeholders to deliver new capabilities and enhance the overall knowledge platform.
Requirements
- 10+ years of software engineering experience, with exposure to AI, NLP, LLM, or Knowledge Graph projects.
- Strong experience with Python and building LLM-powered applications.
- Hands-on knowledge of Knowledge Graph technologies, including RDF, OWL, SHACL, or SPARQL.
- Experience with graph databases such as Neo4j or FalkorDB and graph querying using Cypher.
- Familiarity with embeddings, vector search, RAG/GraphRAG, and modern AI frameworks such as LangChain.
- Strong problem-solving and communication skills, with the ability to work across technical and business teams.
Alternatively, you can send your updated resume to "[email protected]".