AI Data & Semantic Modeling Engineer / GenAI Solutions Engineer
Job Description
Essential Qualifications
1) Over 7 years of experience in software engineering, data engineering, or the development of AI solutions.
2) Proficient in Hybrid RAG architectures, Semantic search, Vector databases, and Metadata-driven retrieval systems.
3) Practical experience with enterprise databases and data warehouses, including Snowflake, BigQuery, Databricks, and PostgreSQL.
4) Demonstrated expertise in Python development.
5) Proven experience in creating REST APIs using FastAPI or Flask.
6) Familiarity with streaming architectures, asynchronous processing, and job orchestration.
7) Competence in using React, Next.js, or Streamlit.
We are looking for a skilled AI Data & Semantic Modeling Engineer to create, develop, and maintain high-quality AI and analytics solutions for enterprise applications. The ideal candidate should possess significant expertise in
Data & Semantic Modeling, Retrieval-Augmented Generation (RAG) architectures, enterprise data platforms, and advanced backend development.
This position will involve constructing intelligent data access layers, semantic retrieval systems, conversational analytics platforms, and automated reporting tools that empower users to engage with enterprise data through natural language interfaces.
10 years++