Job Responsibilities:

• Lead the design, develop, and implement AI Agent and tools for supply chain-related business scenarios, covering both frontend and backend logic.
• Drive the engineering and deployment of LLM applications, including backend services; explore innovative applications of large language models within the supply chain domain to enhance operational efficiency.
• Take ownership of core tools/modules and frameworks, participating in system architecture design and technical decision-making.
• Collaborate effectively with business stakeholders and algorithm engineers to ensure technical feasibility, propose system architecture solutions, and drive optimal user experience implementation.
• Lead and participate in the design and development of AI applications and tools and AI building blocks.
• Participate in or lead troubleshooting and performance optimization efforts to ensure system availability, stability, and scalability.
• Participate in or lead the development of team technical infrastructure, continuously improving full-stack engineering efficiency and optimizing the business experience.

Job Requirements

• Familiarity with mainstream AI Agent frameworks and design concepts; proficient in using tools and framework such as LangChain, Langraph, AutoGPT, Harness, and practical AI engineering implementation experience.
• Understanding of LLM model invocation pipelines, tool usage, OpenAI API specifications, and prompt optimization techniques.
• Proficient with architectures design and implement of React, ToT, Plan & Execute
• Hands-on experience with Agent Memory and Context management design and development.
• Proficiency in Python; familiar with high-concurrency and multi-threaded development; experience with SSE, Socket programming, and streaming frameworks; experience in designing and developing distributed, high-concurrency systems.
• Proficient in mainstream Python web frameworks such as Django, Flask, or FastAPI.
• Proficient in middleware technologies such as MySQL/PostgreSQL, Redis, Kafka, etc.
• Familiar with Vue or React and their core ecosystems; experience with common UI component libraries such as ElementUI or Ant Design.
• Solid understanding of W3C standards, HTML4/HTML5, CSS2/CSS3, and ES5/ES6.
• Experience with build tools like Webpack or Vite; practical skills in performance tuning, code splitting, and Tree-Shaking.
• Strong computer science foundation and algorithmic thinking.
• Excellent analytical and problem-solving skills; strong sense of responsibility, initiative, and teamwork abilities.
• Passionate about tracking advancements in AI and full-stack technologies; eager to learn and share; maintains a positive communication attitude and can thrive under pressure.
• A bachelor's degree or above in computer science, artificial intelligence, data science, software engineering, mathematics, or a related field is required; a master's or doctoral degree is preferred.
• Ability to have good communicate in English, both written and verbal.
• 5+ years of experience in software backend development, including 2+ years focused on AI Agent systems.
• Practical business project implementation experience with LLM application development.
• In-depth research or practical project experience in multi-agent interaction, agent collaboration, or Agent engineering systems.
• Proficiency in machine learning and deep learning algorithms; end-to-end experience in modeling, design, and development of simulation or prediction projects.
• Hands-on experience in development of AI + automation.