Must possess the ability to translate ambiguous product requirements into precise, testable, repeatable instructions for a language model. This skill must be clearly demonstrated on your resume.
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
5-10 years96
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Job Description
Download ResumeMust possess the ability to translate ambiguous product requirements into precise, testable, repeatable instructions for a language model. This skill must be clearly demonstrated on your resume.
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