Ai研发工程师
Tasks
- Build scalable model application and service architecture
- Collaborate cross functionally for delivery and rollout
- Conduct end to end development requirements analysis solution design testing deployment and evaluation
- Design and develop AI agent applications for factory business systems
- Develop AI service toolchain for business data knowledge base integration
- Develop and optimize prompt engineering and RAG systems
- Explore and deploy LLM agent and AIGC technologies in production scenarios
- Implement tool calling and workflow orchestration
- Integrate internal and external systems using OpenAPI RPC and MCP
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AIGC | Autogen | C++ | Context engineering | Deep learning | Go | Java | JavaScript | LLM | Langchain | Llamaindex | MCP | Machine Learning | Node.js | OpenAPI | Prompt engineering | PyTorch | Python | RAG | RPC | Retrieval-Augmented Generation | TensorFlow | Tool-Calling | Transformer Models | Workflow Orchestration
Education
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