Development of backend services and APIs that expose AI models, data processing, retrieval, and computational capabilities to other applications.
The work can include API design, authentication, model orchestration, asynchronous jobs, queues, caching, logging, and service integration.
APIs can serve web applications, mobile applications, research platforms, internal software, and online AI services.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.