8 months ago
Chengdu, ChinaMid Level
Responsibilities
- Design and develop enterprise-grade AI applications that apply large language models to business scenarios.
- Build RAG systems, AI agents, intelligent Q&A, document-generation applications, enterprise knowledge bases, and vectorized retrieval systems.
- Develop model-service middleware for unified multi-model scheduling and management.
- Design prompts, optimize model outputs, and participate in LoRA/SFT model fine-tuning.
- Containerize and deploy AI services using Docker and Kubernetes and establish LLMOps monitoring.
- Integrate AI applications with ERP, CRM, OA, and other enterprise systems, then track launch effectiveness and iterate on solutions.
- Write technical documentation, mentor junior developers, communicate with product and business teams, and deliver technical solutions.
Requirements
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related major from an accredited institution.
- At least 3 years of work experience, including at least 3 years of hands-on Python development.
- Proficiency with AI application frameworks such as LangChain and LlamaIndex and familiarity with GPT, Claude, DeepSeek, and Tongyi Qianwen APIs.
- Deep understanding of RAG and experience with Milvus, Pinecone, Chroma, or Qdrant and knowledge Q&A projects.
- Familiarity with FastAPI or Flask and the ability to design RESTful APIs.
- Familiarity with PostgreSQL, MySQL, Redis caching, and vector databases.
- Familiarity with Docker containerized deployment and basic Kubernetes operations.
- Experience developing AI agents, parsing enterprise PDF, Word, or Excel documents, or delivering AI application projects.
- Ability to fluently read English technical documentation and meet CET-4 or equivalent English requirements.
- Proactive, responsible, collaborative, and able to understand business needs.
Benefits
- Elective benefits tailored to the employee's country and lifestyle.
- Formal leadership and professional development programs plus on-demand courses.
- Financial, physical, and mental well-being support through seminars, events, and the global Life Empowerment Assistance Program.
- Inclusive education, peer-to-peer conversations, and equitable growth and development opportunities.
- Onboarding opportunities to network with new coworkers within the first 30 days.
- Internal peer-led communities, business resource groups, volunteering events, and environmental and social initiatives.
Tech Stack
Categories
About TD SYNNEX
TD SYNNEX distributes IT hardware, software, and cloud services and aggregates solutions for technology vendors and resellers, including VARs and system integrators. It provides logistics, financing, cloud marketplaces, and professional services that help partners procure, bundle, and deploy technology for end customers. The public company (NYSE: SNX), headquartered in Fremont, California, was formed in 2021 through the merger of Synnex and Tech Data and operates globally.