Elsevier

AI Prompt Engineer

Philadelphia, PA, USA

Sponsorship not specified$95k-$159kDetected 67 days ago

PythonGitVector DatabasesNLPLLMsRAGAgentic AIResearchCollaboration

About the role

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.
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.

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.
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
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
In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work.
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.

Strong Python proficiency
experience with large language model APIs (OpenAI, Cohere, Anthropic, etc.).
Deep expertise in prompt techniques (zero-shot, few-shot, chain-of-thought, function-calling, role prompts) and evaluation methodologies.
Experience with retrieval-augmented generation (RAG), knowledge bases, or RAG pipelines.
Experience designing and maintaining a prompt library
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.

Geographic differentials may apply in some locations to better reflect local market rates.If performed in New Jersey, the base pay range is $107,646 - $171,954.This job is eligible for an annual incentive bonus.
$95,300 - $158,800.

Elsevier continues to build an innovative team across the globe to develop next generation experiences for Physicians, Nurses, and other Health Care 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.
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services.
We are delighted to offer country specific benefits.
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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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If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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 orientat

This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.