AI Prompt Engineer
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 (e.g., 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
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.
Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements.
Furthermore, Elsevier offers tools and services to help researchers with tasks such as data management, article submission, and citation tracking. They also provide metrics and analytics to assess the impact and reach of scientific publications. Additionally, Elsevier hosts conferences and events to facilitate knowledge sharing and collaboration within the scientific community.
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