Python and Java engineer

1. System Development & Optimization

• Participate in the design and core module development of enterprise-level AI Agent systems (e.g., dialogue management, task planning, multimodal interaction).
• Integrate technologies such as RAG, knowledge graphs, and vector databases to optimize task execution efficiency and resource consumption.
• Develop intelligent agent workflows to enhance capabilities in autonomous decision-making, tool calling, and multi-agent collaboration (e.g., ReAct, Chain-of-Thought).

2. Technical Research & Innovation

• Stay abreast of cutting-edge AI Agent technologies (e.g., AutoGPT, Model Context Protocol, Reinforcement Learning) and drive their implementation in engineering scenarios.

 QualificationsHard Skills

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field.
• Solid foundation in data structures and algorithms.
• Practical experience in development with Python or Java.
• Familiarity with mainstream frameworks such as LangChain, LlamaIndex, and AutoGen.
• Experience with vector databases (e.g., Milvus), knowledge graphs, and multi-source data fusion solutions.

Soft Skills

• Strong logical thinking and ability to independently solve problems, capable of owning the full development lifecycle from design to deployment.
• Excellent team player with effective communication skills.
• Passion for LLM technology, with a strong capacity for rapid learning and innovation.