Key Responsibilities:
Prompt Design & Development: Create, test, and iterate on prompts to guide LLMs toward desired outcomes.
Performance Analysis: Evaluate the quality of AI-generated responses and identify areas for improvement.
Prompt Optimization: Fine-tune existing prompts to enhance model accuracy, reduce bias, and increase efficiency.
Collaboration: Work closely with data scientists, machine learning engineers, and product managers to understand project requirements and translate them into effective prompts.
Documentation: Maintain clear and concise documentation of prompts, methodologies, and best practices.
Technical Skills: Familiarity with programming languages like Python is a bonus. Basic understanding of machine learning and natural language processing (NLP) concepts.