REQUIREMENTS

• Bachelor’s degree, preferred in computer science, engineering, or a related field. Master’s degree preferred.
• 3+ years of experience in software development with Proficiency in programming languages such as Python, Java, or similar is essential for implementing and integrating prompt engineering solutions into existing AI systems.
• 2+ years developing applications using AI, natural language processing, and speech recognition.
• Experience with Python and at least one Python web framework (e.g., Django, Flask).
• Experience with RESTful APIs and API integration.
• Skills in data analysis and statistical methods are valuable for assessing the performance of prompts, analyzing user interactions, and making informed adjustments to enhance the overall system.
• Comprehensive understanding of natural language processing techniques and tools, machine learning Principles, and AI-generated content development
• Conversational AI experience: Any of the following would be good: Kore.AI, Google Dialog Flow, Amelia, Yellow.AI
• Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt engineering strategies effectively.
• Proven work experience as a Prompt Engineer or similar role
• High-level familiarity with architecture and operation of large language models
• Exceptional verbal and written communication skills for effective prompt design and collaboration with users, engineers, and product teams
• Experience in creative writing or content creation is a plus.

• Conduct extensive research to identify and curate relevant data sources for prompt development.
• Analyze, design, develop, and refine diverse prompts tailored to specific AI tasks and applications.
• Ensure the prompts are intuitive for a productive conversation to elicit desired responses and achieve outcomes.
• Optimize AI prompt generation process to enhance overall system performance.
• Integrate prompt designs into natural language processing (NLP) models.
• Ensure seamless integration of prompt engineering strategies into existing AI systems.
• Develop and maintain RESTful APIs using Python and relevant frameworks (e.g., Django, Flask).
• Design, develop, and maintain user interfaces using React and related technologies (e.g., Redux, Next.js).
• Conduct thorough evaluations of prompt effectiveness through data analysis and user feedback.
• Iterate on prompt designs based on performance metrics, aiming for continual improvement in conversational capabilities.
• Develop and maintain quantitative key performance indicators to evaluate the effectiveness of AI prompts. Draft and distribute reports on prompt performance to identify areas for improvement.
• Work closely with UX/UI designers, product managers, and other stakeholders to align prompt design with user experience goals and overall project objectives.
• Stay ahead of AI advancements, natural language processing, and machine learning to apply to our business objectives proactively.
• Document prompt design strategies, methodologies, and outcomes for internal reference and knowledge sharing.
• Communicate effectively with team members and stakeholders, presenting findings and recommendations related to prompt engineering.
• Collaborate with business stakeholders, product team, and developers to understand use cases, project requirements, and objectives.
• Collaborate with content creators, product teams, and data scientists to ensure prompt accuracy and alignment with company goals and user needs.