AI Expert_PS

Job description

Job Summary As an AI Expert in RBCD/TEF4, you will be a core builder of Bosch's AI-Native Operations in BBM-CN. You will design and develop Agentic AI systems – autonomous AI agents that work side-by-side with our operations teams to continuously improve manufacturing and business processes through the (Mobility AI Copilot) platform. Beyond classical computer vision and deep learning, you will own the full agentic development cycle: from opportunity identification and agent architecture, to data governance, safety guardrails, and production-grade deployment. Roles and Responsibilities - Agentic AI Development - Identify agentic opportunities across RBCD manufacturing operations; translate business cases into technical agent architectures and implementation roadmaps. - Design, develop, and deploy AI agents using modern agentic frameworks (LangGraph, AutoGen, CrewAI, or equivalent) integrated into the platform. - Leverage Coding Agents (Claude Code, OpenAI Codex, GitHub Copilot Workspace) to accelerate agent and tool development; apply prompt engineering, tool-use, and multi-agent orchestration patterns. - Architect multi-agent pipelines that combine LLMs, vision models, retrieval-augmented generation (RAG), and structured data to deliver end-to-end automated workflows. - Build and maintain safety guardrails: human-in-the-loop checkpoints, output validation, audit logging, and risk control frameworks for production agent deployments. - Manage agent data assets — define retrieval strategy, knowledge-base architecture, and context window optimization to ensure agents have accurate, up-to-date information. - Computer Vision & Classical AI - Lead end-to-end development of computer vision and deep learning algorithms for AOI (Automatic Optical Inspection) and manufacturing quality processes — from PoC to serial implementation. - Design and implement model architectures (CNN, Transformer-based ViT, multimodal) for classification, detection, segmentation, and anomaly detection tasks. - Establish data collection, labelling, and data management strategies to enable fast model iteration and continuous performance improvement. - Collaborate with IT, machine, and product technical experts to define data pipelines, storage concepts, and MLOps practices. - Leadership & Knowledge Sharing - Lead or accompany cross-functional project teams, taking full responsibility for costs, quality, and on-time delivery. - Coordinate AI work packages within RBCD manufacturing; cooperate with PS central departments to deploy and share standard solutions across plants. - Coach and mentor data enthusiasts and team members; drive AI competency build-up including Agentic AI literacy across the organisation. - Proactively monitor the latest AI developments (foundation models, agentic frameworks, coding agents) and evaluate their applicability to RBCD use cases. Authority ( mandatory for Grade 7 and above, optional for others ) - Lead or develop analysis model, algorithms for improvement projects with full responsibility for costs, quality, and on-time delivery. - Cooperate with PS central department to deploy / sharing the standard solutions. - Coaching and guiding data enthusiasm and team members supporting them competency build up - Master's degree (or above) in Computer Science, Computer Vision, AI/ML, Electrical Engineering, or a closely related field. - 3+ years of hands-on experience in real AI/ML projects, with at least 1 year in Agentic AI, LLM application development, or equivalent. - Proven track record of delivering AI solutions from prototype to production in an industrial or manufacturing environment. - Strong proactive, self-driven learning mindset with a customer-oriented and CIP (Continuous Improvement) attitude. Job Relevant Knowledge and Experience - Agentic AI & LLM Engineering - Hands-on experience with Coding Agents: Claude Code (Anthropic), OpenAI Codex / Codex CLI, GitHub Copilot Workspace, or Cursor. - Experience building and running multi-agent systems with LangGraph, AutoGen, CrewAI, or similar agentic orchestration frameworks. - Proficient in LLM API integration (OpenAI, Anthropic Claude, Azure OpenAI, open-source LLMs via Ollama / vLLM). - Skilled in Retrieval-Augmented Generation (RAG): vector databases (Chroma, Weaviate, Qdrant, pgvector), embedding pipelines, context management. - Familiar with prompt engineering patterns: chain-of-thought, few-shot, tool-calling, structured output, and self-reflection loops. - Understanding of agent safety: output guardrails, hallucination detection, human-in-the-loop design, audit trails. - Familiar with MCP (Model Context Protocol) or comparable agent-tool integration standards. - Computer Vision & Deep Learning - Expert in Python; proficient in PyTorch and/or TensorFlow/Keras. - Strong in classical image processing (OpenCV): filtering, edge detection, feature extraction, camera calibration. - Deep understanding of CNN architectures: AlexNet, VGG, ResNet, DenseNet, MobileNet, EfficientNet. - Proficient in object detection (YOLO, Faster-RCNN, SSD, DETR) and segmentation (Mask-RCNN, SAM). - Experience with Vision Transformers (ViT, Swin) and multimodal models (CLIP, LLaVA, GPT-4V). - Familiar with data labelling toolchains (Label Studio, CVAT) and data versioning (DVC, MLflow). - Knowledge of model optimisation for edge deployment: quantisation, pruning, ONNX, TensorRT. - MLOps & Engineering Practices - Proficient in Git and CI/CD pipelines for ML/AI systems. - Experience with containerisation (Docker, Kubernetes) for agent and model serving. - Familiar with cloud/on-prem ML platforms (Azure ML, AWS SageMaker, or equivalent). - Experience with experiment tracking (MLflow, W&B) and model registry practices. - Domain & Soft Skills - Ability to translate ambiguous manufacturing/business problems into well-scoped AI solutions. - Strong analytical and structured problem-solving skills. - Excellent communication skills — able to present complex AI topics to non-technical stakeholders. - Intercultural collaboration experience; comfortable working in cross-functional, international teams. - Mandarin (working proficiency) and English (professional proficiency) required. 博世集团网上招聘数据处理同意声明 个人信息及目的：你的如下个人信息将被处理并用于招聘：姓名、电子邮箱、电话号码、所在地区、经验和教育信息、简历等应聘者自主提交的附件信息、证件号、职位、部门、计划入职日期、第一次劳动合同持续时间、工作地点、月薪、年薪、浮动奖金比例、餐贴、车贴。 博世将依据相关的数据保护法规，在全球范围内对您的数据进行保密。招聘流程中，您的个人信息只有在必须时才会被提供给博世以外的第三方机构(如代理机构)。博世精心挑选了第三方机构并与之签订了保密合同。博世采取了种种保密措施以保护您的数据，确保其不会遭受操纵、丢失、破坏、未经授权的访问或泄漏。我们的安全措施将随着新技术的应用而不断升级。您的本地浏览器和我们的人才招募系统之间的数据传输通过https加密。 特定职位申请：申请博世集团的职位就意味着您将自己的个人信息提供给博世集团旗下相应的法律实体（具体请见博世集团法人清单）。请注意，若有任何文件或资料变更，请在所有申请书里一并变更。人力资源部门的员工可能与您联系，询问您是否同意将您的求职申请转向博世集团内部另一合适职位。如果您申请了特定职位，那么只有在您同意的情况下，博世才会将您的求职申请转向另一职位。 您可以随时撤回求职申请，博世将根据相关法律删除您的个人信息。与您的申请相关的所有资料将被保留至24个月。若申请美国职位，博世依法保留三年。 您的权利：若您希望停止向博世提供您的个人信息，可联系我们或通过博世网上招聘数据隐私声明中的BKMS系统提出申请。您可以在SmartRecruiters平台查阅和修改您的简历。您对您的个人信息的处理享有知情权、决定权，您有权限制或者拒绝我们对您的个人信息进行处理。您还可以更正、补充您的个人信息。 跨境传输：为了实现前述目的，我们所收集的您的个人信息可能会在多个国家或地区间进行跨境转移，例如德国、新加坡。 德国：罗伯特-博世有限公司（德国格宁根市罗伯特博世广场1号（Robert-Bosch-Platz 1, Gerlingen-Schillerhohe, Germany，邮编：70839），用于集团统一招聘管理（博世中国与数据接收方均基于该目的开展数据出境活动； 英国：SmartRecruiters（英国伯克郡温莎亚瑟路圣斯蒂芬大厦 邮政区码: SL4 1RU），用于招聘、后期交流联系及分享职位/活动信息、潜在人才社区邀请。 您可通过上述联系方式依法向境外接收方行使您在个人信息处理活动中的权利。 存储您的个人信息：我们将仅在为实现目的必要的范围内以及法律法规要求的时间内保留您的个人信息。 雇佣：被雇佣后，您提供的数据将被从当前招聘系统转移至职位所属公司的人力资源管理系统。 本政策更新：我们将通过【邮件通知】的方式提供经更新的本政策，请您及时查看以获得更新。 联系方式： 请通过访问博世中国官方主页：博世在中国>加入博世>工作机会，在网上招聘数据隐私声明中“9.联系方式” 博世集团法人清单： 请通过访问博世中国官方主页：博世在中国>加入博世>工作机会，在网上招聘数据隐私声明中获取现阶段使用网上招聘系统的博世集团法人（第五页） Bosch Powertrain Systems Co., Ltd. (RBCD), the joint venture of Robert Bosch GmbH and Weifu High Technology Group Co., Ltd., is a high tech enterprise specializing in the development, production and sales of common rail systems, exhaust gas after treatment systems, fuel cell stacks and key components. The company, based on its local R&D and project management competence, with innovative technologies, can support customers to continuously improve internal combustion engines efficiency, to reduce emission, and to accelerate the market launch of new energy products. The garget of the company is to provide the Chinese market and customers with diversified advanced powertrain products.