算法工程师
Tasks
- Build large language model applications for industrial use cases
- Collaborate with process manufacturing and quality teams for production deployment
- Control LLM hallucinations and optimize reasoning chains
- Design develop deploy AI Agent systems for industrial scenarios
- Develop prompt engineering RAG tool calling and workflow capabilities
- Optimize and evaluate AI agent system accuracy stability response time
- Structure and govern industrial knowledge bases and multi source data
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Attention Mechanism | Autogen | CNN | CrewAI | Deep learning | FastAPI | Git | Langchain | Langgraph | Language Models | Large Language Models | Linux | Llamaindex | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | RNN | Retrieval-Augmented Generation | Tool-Calling | Transformer | Vector Databases | 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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