China Generative AI Engineer
Job Description & Responsibilities
1. AI Scenario Identification & Solution Design
Participate in customer requirement research to identify AI application scenarios (e.g., intelligent search, intelligent recommendation) in 3DEXPERIENCE implementation projects; assess the customer's existing AI infrastructure, design integration solutions and architectures,
deliver solution design documents, and participate in customer presentations.
2. Knowledge Engineering
Build an AI-oriented knowledge foundation based on the customer's existing AI application platform and PLM business data (parts, BOMs, change records, design/process documents, etc.), covering: collection, cleansing, parsing, and processing of business data; building, tuning,
and evaluation of RAG pipelines (vectorization, retrieval, and generation); and ontology modeling, knowledge graph construction, and graph database applications for the PLM business domain — supporting scenarios such as semantic search, correlation analysis, and intelligent
Q&A.
3. Agent Application Development
Design and develop agent applications based on agent frameworks such as LangChain / LangGraph or the customer's AI platform, delivering AI capabilities for PLM scenarios such as natural-language queries, change impact analysis, and intelligent BOM comparison.
4. 3DEXPERIENCE Platform Integration
Design and develop the integration of AI services with the 3DEXPERIENCE platform, including RESTful Web Services calls and widget embedding, ensuring the usability and performance of AI features.
5. Cross-Functional Collaboration & Technical Support
Work closely with PLM business consultants, platform developers, testers, and customer business teams; participate in requirement clarification, solution reviews, and go-live support; provide AI technical support to cross-functional teams.
6. Reusable AI Framework Development
Independently design and build a comprehensive AI capability framework that integrates reusable components for RAG, agents, and 3DEXPERIENCE platform integration, supporting rapid configuration and extension, and serving as the unified foundation for both project delivery and
pre-sales demonstrations.
7. Pre-Sales POC Support
Rapidly build POC demo environments on the in-house framework and support the pre-sales team in proof-of-concept validation and customer demonstrations to help advance business opportunities.
8. Knowledge Asset Accumulation & Technology Research
Accumulate reusable knowledge assets from projects, including solution templates, code components, data pipelines, and best practices; track technology trends in LLMs, RAG, agents, and industrial software AI, and validate new technologies and evolve capabilities within the
framework.
Qualifications
✓ Master's degree in Computer Science and Technology, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, Statistics, Applied Mathematics.
✓ Solid foundation in mathematics relevant to AI, such as linear algebra, probability & statistics, and calculus, along with a solid understanding of basic AI/ML theories, including common algorithms (e.g., linear regression, decision trees, SVM) and core concepts (overfitting,
cross-validation, feature engineering).
✓ Proficient in Python programming, with experience in natural language processing (NLP) and large language models (LLMs), and the ability to interpret model principles and experimental results.
✓ Capable of independently developing, training, and deploying machine learning and deep learning models, with solid knowledge of Retrieval-Augmented Generation (RAG) and large model fine-tuning techniques.
✓ Familiar with ontology and Knowledge Graph, with a solid grasp of knowledge representation, ontology modeling, and knowledge graph construction and application methods; experience with semantic web technologies (e.g., RDF/OWL) is preferred.
✓ Experience with the LangChain framework and agent application development skills is preferred.
✓ Internship or practical AI project experience will be considered a plus.
✓ Good communication and collaboration skills, as the role often involves working with cross-functional teams to provide AI technical support.
What's in it for you?
Gain exposure to a wide variety of high-tech knowledges
Having an international work environment with brilliant colleagues around the globe
Opportunity to work on challenging projects
Hybrid "Work from home" arrangement in compliance with company policies and guidelines
Inclusion statement
다쏘시스템은 인류의 발전을 위한 촉매제 역할을 합니다. 우리는 기업과 개인에게 지속 가능한 혁신을 상상할 수 있는 협업용 가상 환경을 제공합니다. 3DEXPERIENCE 플랫폼과 애플리케이션을 통해 현실 세계의 버추얼 트윈 경험을 창출함으로써, 150여 개국의 모든 산업 분야에서 35만 명 이상의 고객에게 가치를 제공합니다. 2만 3,800여명의 열정적인 임직원이 함께하는 글로벌 커뮤니티에 참여하세요!
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