Builds backend services for a new AI and data product, connecting prepared fan data to user-facing features through APIs, database design and large-scale data processing.
About this role
Gaudiy, which runs the fan-community platform Gaudiy Fanlink for entertainment rights holders, is hiring a Generative AI Engineer to research and build new fan experiences that use image-generation AI and LLM agents on Fanlink, in addition to the metaverse. The person is expected to carry work from R&D-style research through to implementation and operation.
The tasks are researching image-generation models and implementing and operating them, researching agent simulation with the GPT API and implementing and operating it, and surveying the latest AI techniques. Fanlink is currently built with Golang on AWS and GCP, with Docker, Cloud Datastore and MySQL, CloudFormation, and CircleCI and GitHub Actions for delivery. Examples of communities built on the platform include an official Bandai Namco Gunpla community and an official community for the anime Oshi no Ko.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Builds the data foundation for an AI and analytics product by matching records, modeling reliable datasets, and improving the quality and consistency of entertainment data.
Lead the technical development of the ecosystem for Gaudiy Group, focusing on MyAnimeList and its integration with other products.
Develops image-recognition products and services from technical investigation and prototyping through implementation, operation and release across edge, cloud and hybrid environments.
Develops PLAID’s KARTE platform and its underlying systems, including real-time user-data analysis, a distributed OLAP database, and LLM-assisted generation of frontend components and SQL.
Improves software quality assurance for client development projects by analyzing processes and tools, designing audits and quantitative analysis, applying AI, and guiding SQA practices.