Mid-Level AI Data Engineer – Generative AI Data Integration

Our client is a leading tech organization dedicated to delivering cutting-edge Generative AI solutions.

• Minimum of 3 years of experience in data engineering or related fields.
• Proficiency with Python (FastAPI) and microservices architecture.
• Experience with databases such as MongoDB, PostgreSQL, GCP BigQuery, and Vector stores.
• Familiarity with cloud platforms: Google Cloud Platform and Azure Cloud.
• Knowledge of Google ADK, Memory stores, RAGs, Context Engineering, and Evaluation systems.

Nice to have:

• Certification in cloud engineering or data architecture.
• Experience with Hadoop or Starburst (Data Virtualization).

• Develop data sources for agents sourcing data from various systems used by GenAI models.
• Create robust data transfer pipelines to ensure seamless data flow.
• Design and implement microservices synchronized with overall GenAI solutions.
• Collaborate with cross-functional teams to optimize data integration and model performance.
• Maintain and enhance databases including MongoDB, Vector stores, Hadoop, and others.
• Enable data virtualisation and manage cloud platform integrations on Google Cloud Platform and Azure Cloud.

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