Generative AI Data Integration Engineer – Cloud & Microservices

Our client is a pioneering force within the CTO DATA domain, dedicated to delivering ethical and cutting-edge Generative AI experiences.

• At least 7 years of proven experience in data integration, microservices development, or related fields.
• Strong proficiency in Python, particularly with FastAPI and microservices architecture.
• Solid knowledge of databases and data virtualization tools such as MongoDB, Hadoop, starburst, and PostgreSQL.
• Experience working within cloud platforms like GCP and Azure.
• Understanding of modern AI data workflows, including Memory stores, RAGs, and Context Engineering.
• Familiarity with Data Virtualization and BigQuery.

Nice to have:

• Certifications in cloud platforms (GCP, Azure).
• Experience with evaluation systems for AI solutions.
• Knowledge of Google ADK and other AI/ML toolkits.

• Design and develop data transfer pipelines to source information from diverse systems used by Generative AI models.
• Create and maintain microservices synchronized with the overall GenAI ecosystem, ensuring seamless data flow and system integration.
• Collaborate with cross-functional teams to optimize data management and improve AI model performance.
• Implement scalable solutions leveraging cloud platforms such as GCP and Azure to support AI-driven insights.
• Develop and refine data storage and retrieval solutions using databases and vector stores.
• Participate in the development of Context Engineering, RAGs, and evaluation systems to ensure responsible and efficient AI outputs.

Only candidates with an existing legal right to work in the European Union will be considered for this role.