Data Integration Engineer GenAI

LTM; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

LTM is seeking a Data Integration Engineer GenAI in Krakow for a 6-month contract. The role focuses on building data integration pipelines, GenAI data sourcing, and creating Python-based microservices with FastAPI.

You will collaborate with AI and data teams to enable scalable, secure GenAI workloads. Responsibilities include building retrieval and processing pipelines, integrating vector databases, and leveraging GCP/Azure cloud services.

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.

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.

Skills

Python development

FastAPI

Microservices

APIs

Communication

Tools

MongoDB

PostgreSQL

Vector Databases

Hadoop

Starburst/Data Virtualization

GCP

Azure

Job description

Role: Data Integration Engineer GenAI

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

6 Months contract

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

Role Description

Role: Data Integration Engineer GenAI

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

6 Months contract

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

Experience 5 to 7 Years

• 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
• Strong Python development experience
• 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 problemsolving data modelling and system integration skills
• Good communication and collaboration skills