Saviance · 2 months ago
Senior Data / RAG Engineer
Saviance is a company seeking a Senior Data Engineer with expertise in Retrieval-Augmented Generation and Vector Database design. The role involves modernizing archival data ingestion and enabling real-time contextual retrieval for AI-driven systems.
Information Technology & Services
Responsibilities
Design and implement RAG Vector Databases (e.g., OpenSearch, Pinecone) using archival data from S3 / Glacier and overall data management via MS SQL Server
Modernize existing data ingestion pipelines, replacing legacy OCR-based processes with scalable ETL/ELT frameworks
Ensure data synchronization and consistency between RDS (MS SQL Server) and Vector DB for real-time AI context
Collaborate with AI, backend, and infrastructure teams to optimize retrieval performance and model access
Drive data integrity, schema evolution, and compliance readiness across systems
Qualification
Required
Proven expertise in data engineering pipelines (Kafka / MSK, ETL / ELT)
Hands-on experience with Vector Databases and RAG implementations (OpenSearch, Pinecone, FAISS, Chroma)
Strong proficiency in SQL, data modeling, and Python / C# / Go
Experience with AWS data ecosystem (S3, RDS, Glue, Lambda and related technologies)
8–10 years of experience in data engineering or AI data platforms