Staff AI Engineer (Data Ontologist)

📋 Description

• Design context architectures for AI knowledge access.
• Develop ontologies, schemas, and representations for domain knowledge.
• Optimize context pipelines (retrieval, memory, prompts) for LLMs.
• Build semantic layers over structured and unstructured data.
• Design knowledge graphs and context graphs across systems.
• Collaborate with AI and Data teams to align embeddings and vector storage.

🎯 Requirements

• Design semantic systems, ontologies, or knowledge graphs.
• Taxonomy design, ER modeling, and graph structures.
• LLM-based systems in context engineering and RAG.
• Embeddings, vector databases, and retrieval strategies.
• Context pipelines integrating APIs, databases, and documents.
• Graph databases (Neo4j) and metadata management.
• Cloud environments (AWS, Azure, GCP) for production AI.
• Communicate complex semantic/AI concepts to technical and business stakeholders.

🎁 Benefits

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!