AI Engineer - Semantic Layer & Agentic AI

• 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

• 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

Skills

• Artificial Intelligence
• Communication Skills (Key)
• Information Technology Education
• Large Language Models (LLM)
• Machine Learning
• Problem Solving (Process)
• Python Programming (Beginner)
• Software Engineering Job Titles
• Stakeholder Management (Business)
• TensorFlow & PyTorch Deep Learning