AI Data Engineer

We are seeking a mid-level Data Engineer to join our AI team to build, operate, and enhance the data infrastructure supporting our Agentic AI initiatives.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting AI research, prototyping, and production use cases.
• Collaborate with AI scientists and engineers to translate data requirements into ingestion, transformation, and serving solutions.
• Apply data governance and security controls ensuring compliance, auditability, and protection of sensitive information.
• Monitor, troubleshoot, and resolve data pipeline failures, performance issues, and schema changes.
• Continuously improve reliability through testing, observability, documentation, and automation.
• Design and maintain efficient data models (e.g., star schemas, feature-ready datasets, semantic layers) supporting analytics, ML workflows, and AI agent operations.
• Implement automated data validation, schema checks, and pipeline testing to ensure high-quality data delivery across systems.
• Contribute to data architectures supporting agent workflows, including training data preparation, retrieval layers, and inference logging.
• Build and enhance pipelines supporting near real-time agent interactions and feedback signals.
• Strong SQL skills, with experience designing analytical queries and working with relational and NoSQL databases.
• Implement and operate vector embedding stores, knowledge graph ingestion pipelines, and retrieval mechanisms.
• Implement data quality controls suitable for ML/LLM pipelines in regulated environments.
• Assist with performance tuning to reduce latency in agent-driven workflows.
• Familiarity with infrastructure-as-code and automated deployment for data pipelines.