Knowledge Graph Engineer (Cypher / SPARQL / Ontology Expert)

Job Description:

• We are seeking a highly skilled Knowledge Graph & AI Engineer with strong expertise in graph databases, ontology design, and AI integration. The ideal candidate will have hands-on experience with Cypher and/or SPARQL, and a proven background in building and scaling knowledge graph solutions integrated with LLMs and RAG architectures. This role focuses on developing intelligent, graph-driven systems to power advanced analytics and sales intelligence use cases.

Responsibilities:

• Design and implement scalable knowledge graph architectures using property graph and/or RDF models.
• Transform and integrate structured and semi-structured data into optimized graph data models.
• Develop, optimize, and execute queries using Cypher and/or SPARQL.
• Build and maintain ontologies and entity relationship models for business use cases.
• Integrate knowledge graphs with LLMs using RAG architecture to enable intelligent insights.
• Develop APIs and backend services to deliver AI-driven recommendations and insights.
• Implement relationship scoring, network traversal, and graph analytics logic.
• Ensure performance, scalability, and security of graph-based systems.
• Collaborate with business stakeholders (especially sales teams) to translate requirements into technical solutions.

Experience:

• 5+ years of experience in Data Engineering, AI Engineering, or Knowledge Graph development.
• Strong hands-on experience with graph technologies (Property Graph and/or RDF frameworks).
• Proven expertise in Cypher and/or SPARQL query languages (mandatory).
• Solid experience in graph data modeling and ontology design (must be reflected in resume)
• Experience integrating relational databases and external data sources into graph systems.
• Strong programming skills in Python.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Familiarity with Retrieval-Augmented Generation (RAG) architecture.
• Understanding of AI-driven recommendation systems and graph-based analytics.

Skills:

• Knowledge Graph
• Cypher
• Graph ontology
• Data modeling
• Large Language Models (LLMs)

Education:

• Bachelor s degree.

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.