AI Agent 开发实习生（通用智能仿真方向）
Tasks
- Analyze simulation test data
- Build LLM based automatic driving simulation AI applications
- Build automation diagnostics tools
- Connect APIs between LLM and simulation platform
- Create RAG based applications
- Design AI agent architecture
- Develop multi agent workflow
- Develop tool calling capability
- Generate test cases automatically
- Implement planning memory tools
- Integrate LLM with simulation platform
- Optimize prompts for performance
- Visualize simulation scenarios
Perks/Benefits
- N/A
Skills/Tech-stack
API | API Integration | Agent architecture | Agent systems | Asynchronous programming | Autogen | C++ | Function Calling | Langchain | Langgraph | Language Models | Large Language Models | Memory Management | Multi-Agent | Multi-Agent Systems | OpenAI API | Planning | Prompt engineering | Python | RAG | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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