Intelligent Agent Platform Engineer

• Contribute to the development of an intelligent agent platform, supporting multi-model inference, tool invocation, and task orchestration.
• Implement core agent modules, including task execution, context management, tool interfaces, logging, and tracing.
• Assist in designing and optimizing multi-agent collaboration mechanisms and pipeline scheduling logic.
• Integrate a variety of model APIs (e.g., OpenAI, Qwen, Claude, LLaMA) to enable automated task workflows.
• Write high-quality, maintainable code to ensure system stability and long-term reliability.
• Participate in framework documentation, testing, performance optimization, and iterative platform releases.

• Bachelor’s degree or equivalent practical experience in Computer Science, Software Engineering, or a related field.
• Strong proficiency in Python, with experience in asynchronous programming (e.g., asyncio, trio, aiohttp) and multi-threaded, multi-process, or distributed task scheduling.
• Solid foundations in deep learning and language models, with a good understanding of Transformers, LLM inference workflows, and prompt engineering.
• Experience with multi-model coordination and API integrations (e.g., OpenAI, Claude, Qwen, LLaMA).
• Strong system design skills, with the ability to decompose complex systems into modular, high-cohesion and low-coupling architectures.
• Good coding practices, strong collaboration skills, and an open-source–friendly mindset.

If you are interested in these job openings, please submit your resume and cover letter to shandahr@shanda.com. We also welcome assistance from recruitment agencies.