Data Engineer

The Data Engineer supports the development and operation of data tools and pipelines used in Multimodal Large Language Model (MLLM) projects. This role focuses on implementation, tooling support, data annotation and engineering execution in close collaboration with internal engineering and research teams.

Key Responsibilities:

* Multimodal Data Processing Support: Implement and maintain basic data processing workflows for text, image, audio, and video data according to existing specifications and tools.

* Backend / Frontend Development Support: Assist in developing and maintaining backend services, scripts, or simple frontend components for internal data and evaluation tools.

* Agent & LLM Tool Integration: Support the integration and use of LLM- or agent-based tools in data workflows, such as automated labeling, evaluation, or data checking.

* LLM Output Evaluation Tooling: Implement or maintain scripts and tools used to run, collect, and organize LLM/MLLM evaluation results.

Qualifications:

* Education: Bachelor's degree or higher.

* Essential Skills: Excellent communication and collaboration skills; strong attention to detail and commitment to high-quality output; ability to quickly adapt to new rules and tools.

* Preferred Experience (Plus but not required): 1)Prior work experience indata processing, software development, data annotation or AI data preprocessing. 2)Foundational knowledge of Deep Learning or LLMs; basic data development experience (e.g., SQL, Python scripting). 3)Passionate about gaming, especially FPS (First-Person Shooter) or SRPG (Strategy Role-Playing Games), experienced in multiple games.

* Exposure to LLMs, AI tools, or automation workflows is a plus, but not mandatory.