AI Prompt Engineer for Clinical Conversational AI, Amsterdam

About the role With the increased development of Generative AI solutions at Elsevier, there is a need for a conversational designer to support AI projects and develop the capabilities in-house. Elsevier continues to build an innovative team across the globe to develop next generation experiences for Physicians, Nurses, and other Health Care professionals. We are now seeking a AI Prompt Engineer. This role is ideal for someone who has a strong interest in conversational AI technologies and is passionate about creating intuitive, user-friendly experiences for medical professionals.

About the team This team is building a generative-AI-powered clinical decision support tool designed specifically to help healthcare professionals quickly find trusted, evidence-based answers at the point of care. It combines a massive curated medical knowledge base with conversational AI so clinicians can ask questions in natural language and get concise, clinically relevant responses backed by real scientific evidence.

Requirements

Current experience as a prompt engineer.

Strong Python proficiency; experience with large language model APIs (OpenAI, Cohere, Anthropic, etc.).

LLM platforms/APIs: OpenAI, Anthropic, etc.

Deep expertise in prompt techniques (zero-shot, few-shot, chain-of-thought, function-calling, role prompts) and evaluation methodologies.

Prompt library and governance: version control (Git), documentation, templates, governance practices.

Experience with retrieval-augmented generation (RAG), knowledge bases, or RAG pipelines.

Experience designing and maintaining a prompt library; version control and governance practices.

Familiarity with vector databases or embedding models (FAISS, Pinecone) and information retrieval concepts.

Familiarity with safety, bias mitigation, and privacy considerations in AI systems.

Responsibilities

As a Prompt Engineer you will design new conversational AI experiences or enhance existing ones, focusing on improving the interaction patterns between users and conversational AI agents.

Optimizing conversational agent responses to meet user expectations for length and information presentation.

Using behavioral science principles to design mechanisms that nudge user behavior toward better outcomes.

Prototyping conversational experiences and validate them with users to help communicate concepts before they are developed.

Tracking performance of conversational AI agents using qualitative and quantitative data. Turn insights into opportunities to improve the experience.

Working closely with Product Managers and Data Scientists to optimize large language models in an agile development environment.

Driving the creation and take ownership of Elsevier’s Conversational AI design Framework, documenting standards, processes and methods.

Be an advocate for the Conversational AI Design community of practice and communicate the value of Conversational AI Design to stakeholders.

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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EEO Know Your Rights.

Required skills: Git, Python, prototyping. Required languages: English.

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