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Data Integration Engineer - Generative AI

Thrive It Systems Ltd — Poland · Posted ~2 hours ago

Skills

Python FastAPI Data integration Data pipelines Generative AI RAG Vector databases Cloud platforms MongoDB PostgreSQL GCP Azure

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Summary ✨ AI‑Generated

A data engineering role focused on enabling generative AI applications through scalable pipelines, data integration services, retrieval systems, and cloud-native architectures.

Highlights

Opportunity to build large-scale AI data solutions involving modern cloud technologies, retrieval systems, and enterprise data platforms.

Description

Responsibilities Design and develop data integration solutions to support Generative AI platforms and applicationsBuild agents that source and retrieve data from multiple enterprise systems for GenAI use casesDevelop scalable data transfer pipelines to enable efficient movement and processing of dataDesign and implement Python based microservices using FastAPIIntegrate structured and unstructured data sources into AI and analytics platformsBuild and support Retrieval Augmented Generation RAG solutions and context aware AI servicesDevelop data access and retrieval services leveraging vector databases and memory storesWork with cloud native services across Google Cloud Platform GCP and AzureDesign solutions that support data virtualization data governance and enterprise scale AI workloadsCollaborate with AI engineers platform engineers and data teams to enable GenAI solutionsEnsure solutions are scalable secure reliable and production readyContribute to evaluation frameworks context engineering and AI model performance improvementsTo be successful in this role you should have 5 to 7 years of experience in Data Engineering Data Integration Backend Engineering or Software EngineeringStrong Python development experienceHandson experience with FastAPI and Microservices ArchitectureExperience building enterprise data integration pipelinesStrong understanding of API design and backend service developmentExperience with MongoDB and NoSQL databasesExperience with PostgreSQL and relational databasesKnowledge of Vector Databases and Vector Search conceptsExperience with Hadoop based data platformsExperience with Starburst or Data Virtualization technologiesExperience with Google BigQueryHandson experience with Google Cloud Platform GCPExposure to Azure Cloud servicesUnderstanding of Retrieval Augmented Generation RAG architecturesKnowledge of Context Engineering and AI data retrieval patternsExperience integrating AIML solutions with enterprise data sourcesStrong problem-solving data modelling and system integration skillsGood communication and collaboration skillsSkills : Data Engineer, Hadoop, Postgresql, Python, GEN AI, ML, RAG