Mid-Level AI Engineer – Generative AI Data Integration

Our client is a pioneering team within CTO DATA dedicated to delivering ethical, responsible, and groundbreaking Generative AI experiences, focused on expanding data integration capabilities to transform decision-making processes and operational efficiency.

• At least 3 years of experience in AI, data engineering, or related fields.
• Strong proficiency in Python, particularly FastAPI, and microservices frameworks.
• Hands-on experience with MongoDB, PostgreSQL, Hadoop, and Starburst (Data Virtualization).
• Familiarity with GCP (BigQuery) and Azure cloud environments.
• Knowledge of Google ADK, RAGs, Memory stores, and context engineering.
• Passion for creating innovative AI data solutions and optimizing data pipelines.

Nice to have:

• Certifications in cloud technologies or AI.
• Experience with Vector stores and advanced data virtualization techniques.
• Knowledge of data evaluation systems and responsible AI frameworks.

• Develop Agents that source data from various enterprise systems for Generative AI capabilities.
• Design and implement reliable data transfer pipelines for real-time and batch workflows.
• Build and maintain microservices aligned with Generative AI solutions ensuring scalability and performance.
• Collaborate with teams to optimize data architectures using MongoDB, Hadoop, and GCP BigQuery.
• Integrate vector stores, memory stores, and context engineering techniques to enhance AI model responsiveness and accuracy.
• Utilize cloud platforms such as GCP and Azure to deploy and manage AI data integration solutions.
• Contribute to ongoing evaluation systems and RAGs (Retrieval-Augmented Generation) for responsible AI practices.
• Apply expertise in Python (FastAPI) and microservices architecture to deliver scalable, efficient components.

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