At NiCE, the business problem is to optimize prompts to generative AI models across NICE's Customer Service Automation (CSA) applications to deliver the highest quality customer experience.
Requirements
- Familiarity with best practices in prompt engineering.
- Familiarity with git-based source code management practices.
- Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.
- Basic AWS resource management.
- Experience with both standard and AI-based testing frameworks such as PyTest and DeepEval.
- Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape.
Responsibilities
- Regularly review production metrics and specific problem cases to find opportunities for improvement.
- Help diagnose and resolve issues with production prompts.
- Refine prompts to generative AI systems to achieve customer goals.
- Collect and present quantitative analysis on solution success.
- Review new prompts and prompt changes with Machine Learning Engineers.
- Stay informed about new advances in prompt engineering.
Other
- BS in technology-related field such as computer science, business intelligence/analytics, or finance.
- Ability to develop and maintain good working relationships with cross-functional teams.
- Ability to clearly communicate and present to internal and external stakeholders.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
