算法工程师
Tasks
- Build prompt engineering and RAG capabilities
- Collaborate with engineering teams for production deployment
- Control hallucinations and improve reasoning chains
- Design AI agent systems for industrial industrialization
- Develop large language model applications for industrial use
- Develop multi-agent systems
- Implement tool calling and workflow orchestration
- Optimize Agent performance and evaluation
- Structure and govern industrial knowledge bases and documents
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agent systems | Attention | Autogen | CrewAI | Deep learning | FastAPI | Git | Knowledge graph | Langchain | Langgraph | Language Models | Large Language Models | Linux | Llamaindex | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Tool-Calling | Transformer | Vector Database | Workflow
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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