About this role
Software Engineer
Responsibilities
- Design and develop enterprise-grade AI applications, implement LLM technology into real-world business scenarios; Develop RAG systems, AI Agents, and other solutions using frameworks such as LangChain/LlamaIndex, delivering end-to-end applications including intelligent Q&A and document generation; Develop model service middleware to support unified multi-model scheduling and management, and build enterprise knowledge bases with vectorized retrieval systems; Design prompt engineering and optimize model outputs, participate in model fine-tuning tasks (LoRA/SFT); Containerize and deploy AI services using Docker/Kubernetes, and establish LLMOps monitoring systems; Integrate AI applications with existing enterprise systems (ERP/CRM/OA), track project launch effectiveness and continuously iterate and optimize; Write technical documentation, mentor junior developers, communicate requirements with product/business teams and deliver technical solutions.
Requirements
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related majors from accredited institutions, with 3+ years of work experience; Proficient in Python with 3+ years of hands-on Python development experience; Skilled in AI application development frameworks such as LangChain/LlamaIndex, familiar with mainstream LLM APIs including GPT/Claude/DeepSeek/Tongyi Qianwen; Deep understanding of RAG principles, experience with vector databases (Milvus/Pinecone/Chroma/Qdrant) and knowledge Q&A projects; Familiar with Python Web frameworks such as FastAPI/Flask, capable of RESTful API design; Familiar with relational databases such as PostgreSQL/MySQL and Redis caching, knowledge of vector databases is a plus; Familiar with Docker containerized deployment and basic Kubernetes operations; Experience in AI Agent development, enterprise document parsing (PDF/Word/Excel), or AI application delivery projects; Able to read technical documentation fluently in English, CET-4 or equivalent; Proactive and responsible, with good teamwork skills and business understanding capabilities.