AMDAI Agent Engineer

We empower our people to stay curious and innovative in a fast-evolving world. We’re looking for individuals who are eager to push boundaries, learn continuously, and create meaningful impact both now and in the future. Does that sound like you? Then we’d love to have you join our dynamic and diverse global team. DAI AIX – AI Acceleration and Exploration, is at the forefront of Data Analytics and AI research within Siemens’ global technology network, driving innovation, collaboration, and transformative applications for our customers. As part of our team, you’ll engage in cutting-edge applied research and development.We are currently seeking an NLP/LLM/Agent Engineer/Researcher to work on the development and deployment of next-generation language-related applications and intelligent agents. The focus of this role is advancing the capabilities of large language models (LLMs) and their integration into real-world applications such as autonomous agents and industrial workflows. You will design and implement advanced algorithms, optimize LLM architectures for specific use cases, and develop scalable solutions that drive tangible outcomes in industry. You'll make an impact by • Research on state-of-the-art data analytics & AI technologies on a general range. • Mainly focus on modern foundation model applications in industrial scenarios1. Context engineering for foundation models2. Development of agent systems for industrial applications3. Task-specific model finetuning • Partially work with multi-modal applications • Participating in both internal & external research projects • Assist deployment of customer development/deployment project

· Responsible for the exploration and implementation of intelligent agent algorithms for the smart cockpit at Li Auto, promoting their application in scenarios such as dialogue systems, decision-making control, and multi-task interaction, while continuously enhancing the user’s intelligent experience. · Explore the design of agent architectures driven by large models, including but not limited to task planning, memory management, tool invocation, multimodal perception, and reasoning. · Lead the research, development, and optimization of algorithms that combine large models with intelligent agents, optimizing the integration of large models with reinforcement learning, knowledge graphs, environmental simulators, etc., to enhance the autonomy and generalization ability of intelligent agents.

1.参与产品规划；深入理解业务需求，参与制定 AI 问答产品的长期战略和短期迭代路线；结合AI Agent（如Prompt Engineering、RAG、Agentic Workflow、工具调用）、多模态交互（文本 + 语音 + 图像）等技术，设计差异化的产品功能，提升用户体验和商业价值； 2.需求分析与场景落地；深度理解用户，挖掘核心业务痛点，设计面向 C 端的 AI Agent 应用或产品功能，高效解决用户问题；主导产品需求文档（PRD）、原型设计，推动跨团队（算法、工程、测试）协作，确保产品按时高质量交付； 3.技术与生态整合；熟悉 AI Agent 技术栈优先，整合向量数据库、知识图谱等工具，优化 Agent 的推理效率和准确性；探索多智能体协作（Multi-Agent System）在金融复杂任务中的应用，例如构建投资决策团队（技术面选股 Agent + 基本面分析 Agent + 量化回测Agent）； 4.行业合规与风险管理；确保产品符合金融监管要求，设计数据安全与隐私保护方案；监控 AI 模型的公平性、可解释性，建立风险预警机制，应对算法偏差或数据外泄等问题； 5.市场与竞争分析；跟踪金融科技行业动态，研究竞品，制定差异化竞争策略；与市场团队合作，推动产品商业化，制定定价策略、客户成功计划，提升市场占有率。

As a Software Engineer 2, you will collaborate with passionate engineers and program managers across China, the United States, and other regions, as well as internal partner teams and the broader developer community. Your responsibilities will include:   • Designing and delivering high-quality, reliable tools, frameworks, and services on schedule. • Driving sound technical decisions in collaboration with engineering and product teams. • Rapidly identifying, mitigating, and resolving customer issues related to AI development tools and services. • Continuously exploring and applying emerging technologies, including AI, to enhance team productivity.