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

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.

Benefits

annual incentive bonus
country specific benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonlarge language model APIsprompt techniquesevaluation methodologiesretrieval-augmented generationknowledge basesversion controlgovernance practicesvector databasesembedding models

Soft Skills

communicationcollaborationadvocacyuser experience designbehavioral science application