Artificial Intelligence Engineer

Job Title: Knowledge Graph Engineer

Duration: 6 Months

Open Positions: 3

Role Overview:

We are looking for a Knowledge Graph Engineer with experience in Neo4J or similar technologies to design and manage semantic data models and knowledge graphs. This role will support AI-driven initiatives, including semantic search and RAG-based architectures.

Key Responsibilities:

Knowledge Graph & Ontology Development

• Design, build, and maintain ontologies and semantic data models
• Develop and manage knowledge graphs for structured data relationships
• Ensure data quality, consistency, and governance across models

AI & Advanced Analytics Enablement

• Support AI use cases such as semantic search, classification, and information extraction
• Align knowledge graphs with AI and generative AI workflows (including RAG architectures)
• Collaborate with engineering teams to integrate semantic models into AI systems

Collaboration

• Work closely with domain experts, product managers, and engineers to capture business requirements
• Translate business knowledge into structured semantic models
• Partner with data scientists and developers to deliver scalable AI solutions

Required Skills & Experience:

• Hands-on experience with Neo4J or similar graph database technologies
• Strong understanding of knowledge graphs, ontologies, and semantic data modeling
• Experience working with AI/ML or generative AI use cases is preferred
• Familiarity with semantic search and data integration concepts
• Strong communication and stakeholder collaboration skills

Nice to Have

• Experience with RAG-based architectures
• Exposure to NLP or information extraction techniques
• Experience working in cross-functional AI or data teams