MVA LLM Developer 奔驰虚拟助手开发工程师

Design and develop the next-generation in-car MVA Agent architecture,including\:
- Build agentic systems with design patterns such as ReAct, Plan-and-Execute, and Tool Calling / Function Calling
- Integrate LLM provider APIs and implement multi-model orchestration and routing strategies
- Develop conversational memory services covering short-term dialogue context and long-term user profiling
- Design and implement standardized tool-calling interfaces for vehicle capabilities
- Perform Prompt Engineering, RAG pipeline development, and model evaluation to continuously optimize AI quality
- Conduct unit testing, integration testing, and AI-specific evaluation (eval datasets, A/B testing) to ensure delivery quality
- Submit and deploy code via CI/CD pipelines on Azure cloud

Drive cross-team technical alignment and solution design as the technical owner for the Agent architecture

Produce and maintain system architecture proposals, interface design documents, and technology selection reports, including\:
- Output architecture proposals for new Agent features and review them with the team lead
- Maintain API specifications and tool-calling schemas
- Document AI system behavior, prompt versioning, and evaluation results across the product lifecycle

Continuous improvement of AI development methodologies and tool chains including\:
- Evaluate and adopt new LLM capabilities, Agentf rameworks, and AI coding tools (Cursor, Copilot, Claude Code)
- Monitor production performance, track AI quality metrics, and drive post-go-live optimization
- Stay current with industry trends in LLM, Agent,and automotive AI