AI Data Engineer III
Core
Building the knowledge layer (data pipelines, RAG systems, embedding infrastructure) for Rimini Street's Agentic ERP Platform to enable AI agents to access relevant information.
Role type
Senior AI Data Engineer (RAG & Vector Search)
Builds
Production RAG pipelines, vector storage systems, and data ingestion pipelines for enterprise support data.
Domain
Enterprise Software Support / AI / Data Engineering
Deliverable
production ML models
Required skills
Python, PostgreSQL (pgvector), RAG pipeline development, ETL/ELT orchestration, vector databases, embedding models, data modeling, API integration
Preferred skills
Snowflake (Cortex AI), LlamaIndex/LangChain, document processing (PDF/OCR), knowledge graphs, Salesforce/ServiceNow APIs
Technologies
Python, PostgreSQL, pgvector, Snowflake, Airflow/Dagster/Prefect, LlamaIndex, LangChain, Neo4j
Responsibilities
Design and build RAG pipelines for context retrieval; implement chunking and hybrid retrieval strategies; manage vector storage and index optimization; build data ingestion pipelines from diverse sources (Salesforce, ServiceNow, etc.); design knowledge architecture and metadata taxonomies; integrate with Snowflake for large-scale processing.
Seniority
Senior, hands-on IC