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