Обязанности: Create AI agents that source data from various systems used by Generative AI models., Design and develop reliable data transfer pipelines., Build microservices aligned with the wider Generative AI solution architecture., Integrate diverse data sources to support scalable AI experiences., Develop backend services using Python and FastAPI., Contribute to data integration initiatives involving databases, big data technologies, and cloud platforms., Support the implementation and evaluation of Retrieval-Augmented Generation and context-aware AI solutions.
Опыт: At least 5 years of professional experience in backend engineering or a related field., Strong proficiency in Python and FastAPI., Experience designing and developing microservices architectures., Hands-on experience with MongoDB, PostgreSQL, and GCP BigQuery., Practical knowledge of Hadoop, Starburst, data virtualization, or vector stores., Experience working with Google Cloud Platform and/or Azure Cloud., Familiarity with RAG architectures, memory stores, and context engineering., Experience with Google ADK and AI evaluation systems., Knowledge of ethical AI practices and responsible AI frameworks., Experience in a financial services or investment banking environment.