AI Algorithm Engineer
Responsibilities:
- Design, develop, and maintain AI-native applications based on large language models (LLM)
- Collaborate closely with product and algorithm teams to enable rapid product iterations, continuously optimizing backend system performance, stability, and scalability
- Lead exploration and implementation of cutting-edge technologies in LLM applications, such as RAG and Agents, and apply them to real-world product development
Qualifications:
- Bachelor’s degree (from a top-tier institution) or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field
- Minimum of 2 years of experience in backend development or as an AI engineer
- Proficient in Go and Python programming languages, with hands-on experience in AI Agent/AI application development; knowledge of database systems (e.g., SQL, NoSQL) and experience in web development and API design
- Strong communication and collaboration skills to work effectively with cross-functional teams
- Problem-solving and innovative thinking skills, with the ability to work in complex environments
- Up-to-date with the latest developments in artificial intelligence, with a commitment to continuous learning and adapting to new technologies
Preferred Qualifications:
- In-depth knowledge of RAG and prompt engineering, with optimizations made for specific business scenarios
- Experience with open-source projects or personal AI applications developed in spare time
- Proficient in at least one AI Agent framework, such as LangChain or AutoGen, with corresponding development experience
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.