Data Engineer (AI/Schema Engineering)

Currently, we are searching for a Data Engineer to cooperate with our US client - the company integrates production-grade, governed AI workflows into complex enterprise systems by addressing common friction points like poor integration and lack of domain expertise. The organization combines deep domain knowledge with cutting-edge capabilities to accelerate the deployment of reliable AI products.

• 5+ years of industry experience, including some experience with AI/ML systems
• Strong proficiency in Python and SQL for data processing, analysis, and pipeline development
• Solid understanding of data schema design, dataset generation, and data quality standards for AI applications
• Experience building and maintaining scalable data and evaluation pipelines in production environments

Nice to have:

• Hands-on experience with AI/LLM frameworks, particularly LangChain
• Some experience with AI models (benchmarking, test set creation, and performance analysis)

• Design, implement, and maintain data schema definitions for AI platform inputs, outputs, and intermediate representations
• Ensure schema compatibility with APIs, databases, and downstream systems, including versioning as the platform evolves
• Build and maintain benchmarking pipelines, run systematic evaluations, and deliver structured performance reports
• Identify performance gaps and collaborate with cross-functional teams to prioritize model improvements
• Generate synthetic and curated datasets, applying data augmentation and labeling techniques while ensuring data quality, diversity, compliance, and proper documentation

Working hours: generally flexible; however, availability is required daily between 6:00 PM and 9:00 PM CEST due to regular meetings with the client’s team.