Prompt Engineer

About the position

Responsibilities

• Collaborate to understand business needs and translate them into clear and effective LLM prompts.
• Develop, test, and refine prompts for varied use cases, ensuring accuracy and relevance in generated outputs.
• Work with software developers to integrate LLM solutions into new or existing applications.
• Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across business units.
• Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
• Stay up to date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
• Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.

Requirements

• Experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc.
• Proficiency in Python or other programming languages commonly used in AI/ML development.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).