Lead the development and optimization of data infrastructure supporting Agentic AI initiatives, collaborating with ML engineers, AI scientists, and product managers
Job Summary
Lead the development and optimization of data infrastructure supporting Agentic AI initiatives, collaborating with ML engineers, AI scientists, and product managers.
Design, develop, and maintain scalable data pipelines and ETL processes, alongside data models for analytics, ML training, and agent workflows.
Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure, staying current with emerging data engineering and AI technologies.
Matching Summary
Lead the development and optimization of data infrastructure supporting Agentic AI initiatives, collaborating with ML engineers, AI scientists, and product managers.
Salary
Base: 155 600,00 zł - 289 200,00 zł; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Scalable data pipelines and ETL
Data models for AI and ML
Data governance and security
Observability and lineage tracking
Distributed computing frameworks
Streaming technologies
Cloud-based infrastructure
Nice-to-have
Agentic AI initiatives
Real-time agent feedback
Vector databases and knowledge graphs
LLM fine-tuning data requirements
RAG systems and pipelines
Key Requirements
5+ years of professional experience in data engineering
2+ years focused on ML/AI data infrastructure
Advanced proficiency in Python and Scala
Expert-level knowledge of SQL and NoSQL databases
Hands-on experience with vector databases
Proficiency with modern data orchestration platforms