AI Engineer - Semantic Layer & Agentic AI

We're looking for an AI Engineer to help build the data foundations powering the next generation of AI applications, agents and copilots.
Key Responsibilities:

• Design and develop semantic layers, knowledge graphs and AI-ready data models
• Build RAG and Agentic AI solutions using modern LLM frameworks
• Work with Data Engineering teams to create business context across complex datasets
• Develop scalable retrieval, search and reasoning capabilities for AI applications
• Contribute to AI governance, data quality and platform architecture

Required Experience:

• Strong Python and SQL skills
• Experience with AI/ML, LLMs or GenAI applications
• Knowledge of semantic modelling, knowledge graphs or metadata-driven architectures
• Experience with RAG, vector databases and modern AI frameworks
• Exposure to AWS, Azure or GCP

Desirable:

• Neo4j or graph database experience
• LangChain, LangGraph or LlamaIndex
• Databricks, Snowflake or modern data platforms
• Agentic AI and AI platform engineering