AI Data Engineer

We are seeking an experienced AI Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure supporting AI/ML initiatives. The ideal candidate will have strong SQL and Python/Scala skills, cloud data platform experience, and knowledge of RAG architectures, vector databases, embeddings, and unstructured data processing., * Design and develop data pipelines to ingest, clean, and transform structured and unstructured data.

• Build and maintain vector embedding pipelines and integrate vector databases.
• Develop data pipelines and feature stores for ML model training and inference.
• Implement RAG pipelines, including document chunking, embedding refresh, and metadata tagging.
• Collaborate with ML Engineers and Data Scientists to support model training and evaluation.
• Ensure data quality, lineage, governance, and security across AI data pipelines.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Support MLOps/LLMOps workflows, including dataset versioning and reproducibility.
• Implement data access controls and entitlement logic to ensure secure AI data usage.

• Strong SQL and proficiency in Python or Scala.
• Experience with cloud data platforms.
• Hands-on experience with Apache Airflow, dbt, or similar orchestration tools.
• Understanding of embedding models, vector search, and RAG architectures.
• Experience processing structured and unstructured data.
• Knowledge of ML lifecycle concepts and data engineering best practices.