Work collaboratively with our engineers, product managers, and business analysts to design and implement a smart AI capable of interacting with our customers through natural language. You will be at the forefront of shaping the AI's personality and voice, ensuring its responses are accurate, informative, and personalized to each customer's needs.
Expertise In
- Architect Conversations: Design and craft effective prompts that guide LLMs to generate informative, empathetic, and contextually-aware customer interactions.
- Data Detective: Analyze user queries and conversation logs to identify patterns and optimize prompts for accuracy, efficiency, and intent understanding.
- Model Mentor: Collaborate with the ML team to fine-tune the LLM's performance through iterative prompt improvements and model adjustments.
- Domain Diplomat: Bridge the gap between the technical world of AI and the specific nuances of the insurance industry, ensuring compliance and addressing customer needs within legal and regulatory frameworks.
- Metrics Master: Design and track key performance indicators (KPIs) to evaluate the LLM's effectiveness and guide continuous improvement.
Requirements
- Masterful Storyteller: Possess exceptional writing skills and a knack for crafting natural, engaging, and precise language.
- NLP Ninja: Have a strong understanding of Natural Language Processing (NLP) concepts, including dialogue systems, intent recognition, and text analysis.
- Insurance Insider: Bring deep knowledge of the insurance industry, customer touchpoints, and regulatory landscapes.
- Technical Trailblazer: Thrive in a dynamic environment and have a passion for exploring the cutting edge of AI technology.
- Data Decoder: Enjoy diving into data, identifying patterns, and using insights to drive intelligent solutions.
- Team Player: Collaborate effectively with engineers, product managers, and business analysts to bring the AI vision to life.
Good to have
- Prior experience with prompt engineering or LLM development.
- Expertise in specific NLP libraries or frameworks (e.g., spaCy, Hugging Face Transformers).
- Understanding of conversational user interfaces (CUIs) and chatbot design principles.
