AI Engineer
Core
Design, develop, and optimize scalable ETL/ELT pipelines and AI/LLM solutions including RAG and AI agents for enterprise data ingestion, integration, and transformation.
Role type
Data Engineer with AI/LLM focus
Builds
Data Lake, Data Warehouse, Lakehouse solutions, and AI/LLM applications
Domain
Enterprise Data Engineering and AI/LLM
Deliverable
production ML models
Required skills
SQL, Python, Databricks, PySpark, Delta Lake, dbt, Data Modeling, Data Orchestration, API Integrations, RAG, AI Agents
Preferred skills
Vector Databases, Power BI, Enterprise ERP systems, Azure, Microsoft Fabric, Git, CI/CD
Technologies
Databricks, dbt, PySpark, SQL, Python, Delta Lake, Azure, Microsoft Fabric, Git
Responsibilities
Design and optimize ETL/ELT pipelines; Build and maintain data engineering workflows; Develop Data Lake/Warehouse/Lakehouse solutions; Prepare data for BI and AI/ML applications; Develop AI/LLM solutions including RAG and AI agents; Ensure data quality, consistency, security, and governance; Monitor and optimize pipeline performance; Implement data orchestration and automated deployment; Collaborate with business and technical teams to gather requirements and drive continuous improvement.
Seniority
Mid-level, hands-on IC