AI Data Engineer

Location: Prague, Czech Republic

Company

hirify.global is expanding its AI and data capabilities through platforms and data products that support analytics, machine learning, Generative AI, and LLM applications.

What you will do

• Design, build, and maintain scalable data ingestion, transformation, enrichment, and integration pipelines.
• Migrate and modernize legacy data platforms, applications, databases, file systems, and on-premise environments while maintaining data quality and business continuity.
• Develop data processing solutions with Python, Spark, SQL, and distributed computing frameworks.
• Design AI-ready data architectures for LLM applications, Retrieval-Augmented Generation, semantic search, knowledge management, feature stores, and model-serving pipelines.
• Implement metadata, lineage, cataloging, automated data quality, validation, monitoring, and governance solutions.
• Collaborate with Data Engineering, Machine Learning, Data Science, Product, Architecture, and business teams on automation, platform modernization, and responsible AI initiatives.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• At least 5 years of experience as a Big Data Engineer or in a similar role.
• Strong programming skills in Scala, Python, or Java, with experience using Python, SQL, Spark, and distributed computing frameworks.
• At least 5 years of experience migrating legacy data platforms, repositories, and operational workflows to modern data architectures.
• Knowledge of APIs, data integration frameworks, event-driven architectures, data lakes, lakehouses, data mesh, security, encryption, access controls, and compliance.
• Experience with AI and ML workflows, Git, CI/CD pipelines, infrastructure as code, stakeholder management, and cross-functional collaboration.

Nice to have

• Experience with Generative AI, knowledge graphs, vector search, and AI platform architectures.
• Interest in emerging data engineering, AI governance, and automation technologies.

Culture & Benefits

• Full-time role in an international and multicultural environment.
• Collaboration across Data Engineering, Data Science, AI, Product, Architecture, and Business teams.
• Participation in agile ceremonies, architecture discussions, solution design reviews, and continuous improvement initiatives.
• Opportunity to work on AI innovation, platform modernization, data governance, and technical debt reduction.