Technical Product Marketing Manager focused on product marketing strategy for HPE Private Cloud AI. Responsible for technical content execution and collaborative efforts with product management.
About the role
- AI Prompt Engineer focusing on developing conversational AI experiences for healthcare professionals at Elsevier. Join a team creating innovative solutions powered by generative AI.
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
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
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