LLM-Driven Backend Engineer for Scalable Infra
Summary
Build and optimize scalable backend infrastructure using LLM-driven tools to enhance system performance and user experience for millions of users.
Responsibilities
- Embrace AI to build cutting‑edge business infrastructure foundations.
- Foster public trust and ensure compliance.
- Optimize resource management and costs.
- Enhance user experience and system stability.
- Improve engineering quality and R&D efficiency.
- Participate in architecture design and development to deliver high‑quality, seamless information services and an exceptional experience to hundreds of millions of users.
- Engage in designing system technical solutions, developing core code, and optimizing systems for performance.
- Contribute to formulating code standards and testing protocols with LLM, and establish development quality control methods.
- Assist the team in overcoming technical challenges such as high concurrency, massive traffic, and system decoupling.
- Participate in technical research and product delivery in the LLM (Large Language Model) field.
Qualifications
- Final year with a bachelor’s degree or above (preferably in Computer Science, Software Engineering, or related fields).
- Passionate about computer science and internet technologies; proficient in at least one programming language (including but not limited to Java, Python, or Go).
- Solid foundation in computer science: In-depth understanding of data structures, algorithms, and operating systems, with a demonstrated interest or research focus on the LLM field.
- Excellent logical analysis ability: Able to reasonably abstract and decompose complex business logic.
Preferred Qualifications
- Strong curiosity, with exceptional learning and communication skills, and practical experience in the LLM domain.