算法工程师
Tasks
- Build prompt engineering and RAG pipelines
- Collaborate with engineering and quality teams to deploy AI solutions
- Control hallucinations and improve reasoning chains
- Design and develop AI agent systems
- Develop LLM applications in industrial scenarios
- Implement tool calling and workflow orchestration
- Optimize Agent performance and evaluation
- Structure and govern industrial knowledge bases
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | Autogen | CrewAI | Deep learning | FastAPI | Git | Knowledge graph | Langchain | Langgraph | Linux | Llamaindex | Machine Learning | Multi-Agent | Prompt engineering | PyTorch | Python | RAG | Tool-Calling | Transformer | Vector Database | Workflow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Algorithm Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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