Designing and optimizing conversational AI experiences for B2B AI platform to drive business value
Requirements
- Demonstrated expertise with multiple conversational AI models (e.g., GPT-4, Claude, Llama, Bard)
- Proficiency in SQL for database querying and data analysis
- Experience creating training datasets for machine learning models
- Strong understanding of prompt engineering techniques and best practices
- Background in natural language processing (NLP) or computational linguistics
- Experience with RAG (Retrieval-Augmented Generation) systems
- Knowledge of semantic search and vector databases
Responsibilities
- Design, develop, and curate high-quality question-answer pairs to train our B2B AI systems on proprietary data
- Create comprehensive prompt libraries tailored to different personas, use cases, and business contexts
- Drive AI adoption across the organization through effective prompt engineering and user experience design
- Analyze AI interaction patterns and optimize conversation flows based on user feedback and performance metrics
- Collaborate with data science, product, and business teams to align AI capabilities with business objectives
- Document best practices for AI interaction and establish standards for prompt engineering
- Conduct regular testing and quality assurance of AI responses and conversation flows
Other
- 3+ years of experience in UX design, conversation design, or related field with focus on AI/ML systems
- Excellent written communication skills with ability to craft clear, concise, and contextually appropriate content
- Experience designing for different user personas and business contexts
- Creative problem-solver with strong analytical thinking
- Ability to translate complex technical concepts into user-friendly experiences
