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 looking for an experienced AI Data & Semantic Modeling Engineer to design, build, and maintain enterprise-grade AI and analytics solutions. The ideal candidate will bring strong expertise in

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

In this role, you will develop intelligent data access layers, semantic retrieval frameworks, conversational analytics platforms, and automated reporting solutions that help users engage with enterprise data through natural language interfaces.