Portfolio Jobs

1. Develop large model applications based on mainstream development frameworks (such as LangChain, LlamaIndex) to create AI solutions for intelligent question answering, knowledge management, and automated processes;

2. Responsible for the design and development of the Agent system, including the implementation of core modules such as task planning, multi-turn dialogue management, and intent recognition;

3. Develop workflows on platforms like Coze/Dify, integrating large model capabilities to achieve business process automation, designing low-latency inference services and asynchronous processing mechanisms;

4. Continuously explore the use of AI capabilities to optimise product experience in various scenarios, proactively innovating practices;

5. Stay updated on relevant cutting-edge technologies, introducing new technologies and solutions to continuously enhance the expressiveness of products and industry competitiveness.

1. Bachelor's degree or above in a related field of Computer Science, with over 3 years of service development experience;

2. Solid coding and development skills, proficient in at least one programming language such as Python or Go;

3. Experience in building complex task scheduling systems, Chatbots, and other related practical experience;

4. Familiar with the entire Agent development process, with practical experience on platforms like Dify/Coze or frameworks such as LangChain/LangGraph;

5. Experience with vector databases, Knowledge systems, and other RAG-related technologies;

6. Good project management and teamwork skills, with excellent analytical problem-solving abilities and a strong sense of responsibility.

The following conditions are considered advantageous:

1. Preference for those with experience in large model algorithms/products;

2. Preference for those with solid back-end development experience;

3. Preference for those with theoretical and practical knowledge in reinforcement learning.