Data Integration Engineer GenAI

What you can expect from us?

• Form of employment: B2B contract
• Hybrid Work Model: Balanced setup with 2-3 days per week in a modern Kraków office and core working hours from 9:00 AM to 5:00 PM CET
• High-Impact Enterprise Environment: Direct involvement in modernizing critical technology ecosystem, combining global banking stability with modern engineering standards
• Cutting-Edge Tech Stack & AI Innovation: Hands-on experience with Python, FastAPI, RAG, PGVector, microservices, and Google Cloud Platform (GCP & BigQuery)
• Global Collaboration & Engineering Culture: Work alongside AI engineers, platform engineers, and international stakeholders within a collaborative, cross-border delivery model

Employment agency entry number 47

this job offer is intended for people over 18 years of age

What will your tasks involve?

• Design and develop data integration solutions to support Generative AI platforms and applications
• Build agents that source and retrieve data from multiple enterprise systems for GenAI use cases
• Develop scalable data transfer pipelines to enable efficient movement and processing of data
• Design and implement Python based microservices using FastAPI
• Integrate structured and unstructured data sources into AI and analytics platforms
• Build and support Retrieval Augmented Generation RAG solutions and context aware AI services
• Develop data access and retrieval services leveraging vector databases and memory stores
• Work with cloud native services across Google Cloud Platform GCP and Azure
• Design solutions that support data virtualization data governance and enterprise scale AI workloads
• Collaborate with AI engineers platform engineers and data teams to enable GenAI solutions
• Ensure solutions are scalable secure reliable and production ready
• Contribute to evaluation frameworks context engineering and AI model performance improvements