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