The role involves architecting and implementing scalable backend systems to support advanced AI tools and services. The individual will lead the design and deployment of systems that automate the analysis of data, code, and documentation. Responsibilities include structuring knowledge within a credit risk domain-aware knowledge graph and modeling complex codebases. The engineer will collaborate with data scientists and business analysts to translate business requirements into technical solutions. Additionally, the role requires addressing complex technical challenges to ensure high-quality project delivery and system reliability.

The role requires exceptional mastery of Python and the FastAPI framework. Candidates must possess hands-on experience with Generative AI and Large Language Model frameworks, supported by a deep understanding of machine learning principles and data science methodologies. Extensive experience in full software lifecycle ownership and strategic system design is necessary. Proficiency in containerized deployment technologies such as Kubernetes, OpenShift, and Docker is also required.