Prompt Engineer

At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.

The Prompt Engineer optimizes prompts to generative AI models across NICE’s Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience.

The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices.

When a customer needs to address novel requirements with a custom prompt, the Prompt Engineer partners with customer-facing teams such as Professional Services and Product Management to capture the customer’s needs and develop a robust, well-tested prompting solution. This includes devising and executing custom test plans, as well as presenting quantitative test results to internal stakeholders.

The Prompt Engineer also works with other members of the research team to evaluate new techniques and models. Data collection is a big part of this work, coordinating internal domain experts and external labeling teams to build high-quality datasets. The Prompt Engineer also builds cloud-based proof-of-concept applications to help evaluate and demonstrate new AI technology.

Responsibilities:

• Review production prompts for problems and potential improvements.
• Educate global development teams on state-of-the-art best practices in prompt engineering.
• Help diagnose and resolve issues with production prompts.
• Work with customer-facing stakeholders to capture customers’ goals for generative AI applications.
• Refine prompts to generative AI systems to achieve customer goals.
• Build software tools and prototypes to help compare alternative solutions.
• Collect and present quantitative analysis on solution success.
• Consult with Machine Learning Engineers for more challenging problems.
• Help evaluate evolving AI-based tools from other members of the Research team.
• Collect data to refine solutions, models, and analysis frameworks.
• Coordinate with internal domain experts and data labeling teams to build datasets.
• Stay informed about new advances in prompt engineering.

Required:

• BS in technology-related field such as computer science, business intelligence/analytics, or finance.
• Three years’ work experience in a technology-related industry or position.
• Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors.
• Ability to develop and maintain good working relationships with cross-functional teams.
• Ability to clearly communicate and present to internal and external stakeholders.
• Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.

Preferred:

• Basic AWS resource management, including microservice deployment.
• Containerization via Docker.
• Awareness of basic data science and generative AI methods.
• Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape.

About NICE:

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

NICE is proud to be an equal opportunity employer. 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.