🛠 Tech Stack

💼 About This Role

You'll design and operationalize the semantic foundations that power intelligent AI systems, enabling agents to reason and retrieve effectively. You'll transform fragmented enterprise information into coherent, machine-interpretable context for high-performance agentic systems. This role bridges data, AI, and application layers to drive impactful decision-making.

🎯 What You'll Do

• Design context architectures for AI reasoning over enterprise knowledge.
• Develop and maintain ontologies, schemas, and knowledge representations.
• Optimize context assembly pipelines including retrieval and ranking logic.
• Build knowledge graphs and semantic layers over structured/unstructured data.

📋 Requirements

• 5+ years experience with semantic systems, ontologies, or knowledge graphs.
• Hands-on knowledge representation including taxonomy design and entity-relationship modeling.
• Experience with LLM-based systems in context engineering, RAG, or agentic architectures.
• Deep understanding of embeddings, vector databases, and retrieval strategies.

✨ Nice to Have

• Experience with context graphs and advanced context orchestration for agentic systems.
• Background in information science, knowledge engineering, or ontology design.
• Familiarity with evaluation frameworks for context quality and agent performance.

🎁 Benefits & Perks

• 🌍 Global Innovation Hub: International consultancy at tech forefront.
• ⏰ Flexible Hours: Autonomy over your schedule.
• 🏢 Remote-First: Fully remote within Brazil.

🚩 Heads Up

• Role combines AI Engineering and Data Ontologist, potentially hybrid/unclear focus.