Data Integration GenAI Engineer

Thrive IT Systems; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Thrive IT Systems in Kraków, Poland is seeking a data engineering professional for a 6-month hybrid contract to design, build, and deploy GenAI data integration solutions. You will create scalable pipelines, microservices with FastAPI, and data access services across NoSQL/SQL stores, aiming for reliable production-grade AI workloads.

You will collaborate with AI and platform teams, with hybrid work (3 days in office) in Kraków, focusing on data governance, vector databases, and retrieval

Qualifications

• 5 to 7 years of experience in Data Engineering, Data Integration, Backend Engineering or Software Engineering.
• Hands-on experience with FastAPI and Microservices Architecture.
• Experience building enterprise data integration pipelines.
• Strong understanding of API design and backend service development.
• Experience with MongoDB(NoSQL) and PostgreSQL relational databases.
• Knowledge of Vector Databases and vector search concepts.
• Experience with Hadoop-based data platforms and data virtualization tech.
• Experience with Google Cloud Platform (GCP) and exposure to Azure.
• Understanding of Retrieval Augmented Generation (RAG) architectures and AI data retrieval patterns.

Responsibilities

• Design and develop data integration solutions to support GenAI platforms and applications.
• Build agents that source and retrieve data from multiple enterprise systems for GenAI use cases.
• Develop scalable data transfer pipelines for efficient data movement and processing.
• Design and implement Python-based microservices using FastAPI.
• Integrate structured and unstructured data sources into AI and analytics platforms.
• Build and support RAG solutions and context-aware AI services.
• Develop data access and retrieval services leveraging vector databases and memory stores.
• Work with GCP and Azure cloud native services for deployment.
• 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.

Skills

Data Modeling

Problem Solving

Collaboration

Tools

Python

FastAPI

Microservices

MongoDB

PostgreSQL

BigQuery

Hadoop

Starburst/Data Virtualization

Vector Databases

Job description

Krakow, Poland (Hybrid, 3 days work from office in a week)

6 Months contract (Extension Possible)

Responsibilities

• 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

To be successful in this role you should have

• 5 to 7 years of experience in Data Engineering Data Integration Backend Engineering or Software Engineering
• Handson experience with FastAPI and Microservices Architecture
• Experience building enterprise data integration pipelines
• Strong understanding of API design and backend service development
• Experience with MongoDB and NoSQL databases
• Experience with PostgreSQL and relational databases
• Knowledge of Vector Databases and Vector Search concepts
• Experience with Hadoop based data platforms
• Experience with Starburst or Data Virtualization technologies
• Experience with Google BigQuery
• Handson experience with Google Cloud Platform GCP
• Exposure to Azure Cloud services
• Understanding of Retrieval Augmented Generation RAG architectures
• Knowledge of Context Engineering and AI data retrieval patterns
• Experience integrating AIML solutions with enterprise data sources
• Strong problem-solving data modelling and system integration skills
• Good communication and collaboration skills

Skills

Mandatory Skills : Data Engineer, Hadoop, Postgresql, Python, GEN AI, ML, RAG