企业微信-AI全栈研发工程师-协作办公
Core
Design and develop core modules for online documents (tables, docs, smart tables/docs) within the WeCom ecosystem, integrating AI capabilities for real-time collaboration and large-scale data processing.
Role type
Senior Full-Stack AI Engineer (Document Intelligence)
Builds
Online document products with AI-enhanced features (RAG, Agents, Smart Tables)
Domain
Enterprise Collaboration / Document Intelligence / LLM Engineering
Deliverable
production ML models
Required skills
Software engineering (Frontend/Backend/Client), LLM principles (Transformer, Attention), Fine-tuning paradigms (LoRA, SFT, RLHF), Agent development (LangChain, LlamaIndex, LangGraph, AutoGen, Dify), Microservices, Containerization, CI/CD, High-concurrency optimization
Preferred skills
Prompt Engineering, RAG implementation, Model distillation, Inference acceleration, Multimodal algorithms, Traditional NLP
Technologies
WeCom ecosystem, Transformer, LoRA, SFT, RLHF, LangChain, LlamaIndex, LangGraph, AutoGen, Dify, Microservices, Docker/Kubernetes
Responsibilities
Architect and develop core document modules (rendering, backend, algorithms); Optimize performance for real-time collaboration and large-scale data; Implement AI models (RAG, Agents, fine-tuning) into product features; Collaborate on algorithm-engineering fusion for structured data understanding; Build AI engineering systems (data loops, evaluation, CI/CD for AI)
Seniority
Senior, hands-on IC