<p><strong>Recruiting Ad: AI Engineer - GenAI Systems for Clinical Drug Development </strong></p><p>Are you passionate about building advanced GenAI systems that make an impact in real-world clinical scenarios? We are seeking an experienced AI Engineer to join our team and drive the development of agentic AI (intelligent agent systems) and internal knowledge automation for drug clinical development use cases.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><ul><li>Collaborate with clinical, medical, and regulatory teams to transform GenAI concepts into usable demos, MVPs, or proof-of-concepts under the guidance of technical leaders.</li><li>Design and develop agent-based automation systems enabling AI to autonomously search enterprise medical/clinical data and perform multi-step tasks such as analysis, comparison, summarization, and structured output.</li><li>Implement Retrieval-Augmented Generation (RAG) as a core agent capability to support intelligent internal knowledge discovery.</li><li>Work primarily with a tech stack including Python, FastAPI, and vector databases.</li><li>Build internal systems for real-world clinical development scenarios, such as clinical trial information synthesis, medical literature Q&A, and automated clinical/medical/regulatory document handling.</li></ul><p><strong>What You'll Do:</strong></p><ul><li>Architect agent workflows (multi-step reasoning, task decomposition, tool invocation) integrated into business processes.</li><li>Combine LLMs with enterprise data to create practical, innovative AI solutions.</li><li>Develop and iterate rapidly, delivering working demos and prototypes in a collaborative environment.</li><li>Stay current with the latest GenAI trends, tools, and frameworks, including LangChain, LangGraph, and LlamaIndex.</li><li>Advise and support stakeholders on technical solutions as a hands-on expert.</li></ul><p><strong>What We're Looking For:</strong></p><ul><li>Strong engineering background in Python, backend development (FastAPI), and vector databases.</li><li>Practical, hands-on expertise with RAG and building agentic AI systems.</li><li>Experience independently designing and delivering GenAI systems end-to-end.</li><li>Familiarity with frameworks like LangChain, LangGraph, or LlamaIndex.</li><li>Driven, fast-moving, and execution-oriented mindset.</li><li>Proven ability to collaborate across functions and iterate quickly on solutions.</li></ul><p>Join us to lead the next generation of GenAI applications in clinical drug development. Apply now to make a difference in healthcare innovation with our dynamic and growing team!</p><p><em>By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice https://www.roberthalf.cn/en/privacy-statement. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.</em></p><hr /><p>点击"申请",即表示您明确同意 Robert Half 可以使用您的个人信息来处理您的工作申请,并不时与您联系以获得未来的就业机会。 如需进一步了解 Robert Half 如何处理您的个人信息以及如何访问和更正您的信息,请阅读 Robert Half 隐私声明<a href="https://nam02.safelinks.protection.outlook.com/?url=https://www.roberthalf.cn/en/privacy-statement&data=05|01|
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