AI Data & Semantic Modeling Engineer / GenAI Solutions Engineer

Core Requirements

• 7+ years of software engineering, data engineering, or AI solution development experience.
• Strong experience in (Hybrid RAG architectures , Semantic search , Vector databases , Metadata-driven retrieval systems
• Hands-on experience with enterprise databases and data warehouses: (Snowflake, BigQuery ,Databricks ,PostgreSQL)
• Strong Python development experience.
• Experience building REST APIs using FastAPI or Flask.
• Experience with streaming architectures, asynchronous processing, and job orchestration.
• Experience with React, Next.js, or Streamlit.
  
  

We are seeking an experienced AI Data & Semantic Modeling Engineer to design, develop, and support enterprise-grade AI and analytics solutions. The ideal candidate will have strong expertise in

Data & Semantic Modeling, Retrieval-Augmented Generation (RAG) architectures, enterprise data platforms, and modern backend development.

This role will be responsible for building intelligent data access layers, semantic retrieval frameworks, conversational analytics platforms, and automated reporting solutions that enable users to interact with enterprise data through natural language interfaces.