• Be a part of our Advanced Analytict team in a  Prompt Engineer role. 
• Prompt Engineer is a creative and technical role focused on the intersection of language, technology, and user experience.
• Prompt Engineer is responsible for crafting effective prompts that guide Large Language Models (LLMs) to produce desired outcomes, ensuring the model understands and responds accurately to user inputs. The role involves understanding of LLMs, as well as the ability to design, test, and refine prompt strategies and define prompt pipelines to optimize the performance and accuracy of AI systems in various applications.
• Your future responsibilities: 
• Develop and refine high-quality prompts for various applications .
• Design engaging and precise prompts to ensure correct responses from LLMs.
• Collaborate with product managers to align prompt strategies with business goals.
• Collaborate with data scientists and software developers to understand requirements and design effective prompt generation solutions.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Test and iterate on prompts to improve clarity, efficiency, and effectiveness.
• Design prompt pipelines and strategies to optimize the performance and accuracy of AI systems, ensuring low latency and high availability.
• Ensure prompt strategies adhere to ethical guidelines and promote unbiased AI interactions.
• Participate on user testing sessions to gather feedback on prompt effectiveness.
• Cooperate on A/B testing to compare the performance of different prompt variations.
• Analyze user interactions to identify patterns and opportunities for prompt optimization.
• Contribute to metrics development to measure prompt success and inform continuous improvement.
• Monitor prompts impact on user satisfaction and engagement.
• Debug and troubleshoot issues related to prompt misinterpretation or unintended model behavior.
• Conduct research and analyze state-of-the-art AI techniques to improve prompt effectiveness.
• Follow trends in new approaches to prompt injections and how to mitigate them.
• Stay up-to-date with the latest trends and research in natural language processing and LLM advancements.
• Create prompt templates for common use cases to streamline user interactions.
• Maintain a library of prompts categorized by use case and complexity.
• Train other team members on effective prompt creation techniques.
• Research and document findings, methodologies, and best practices for prompt engineering within the organization.