WerQ AI is dedicated to harnessing the power of AI to enhance workplace efficiency, and we are seeking a talented Manager of Prompt Engineering to join our innovative team. In this role, you will lead a team of engineers and researchers focused on designing and optimizing prompts for generative AI models that drive user interactions and improve overall performance. Your expertise will enable you to explore and implement cutting-edge techniques that enhance the capabilities of our AI systems. You will collaborate closely with cross-functional teams to understand user needs, define prompt strategies, and ensure the delivery of high-quality solutions. If you are passionate about AI and have a knack for engineering user-focused experiences, we invite you to apply and help shape the future of our AI platforms.
Responsibilities
- Lead and manage the Prompt Engineering team, promoting creativity and collaboration to explore new methodologies.
- Design, test, and optimize prompts to maximize the effectiveness and usability of generative AI models.
- Collaborate with product managers and UX designers to gather requirements and align prompt strategies with user needs.
- Analyze data and user feedback to iteratively improve prompt performance and user experience.
- Conduct training sessions and workshops to educate cross-functional teams on best practices in prompt engineering.
- Stay current with advancements in AI and NLP technologies, implementing them to enhance prompt strategies.
- Mentor team members, supporting their growth and development in AI and prompt engineering.
- Ensure compliance with ethical guidelines and standards in AI deployment.
- Bachelor's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field; a Master's degree is a plus.
- 5+ years of experience in AI, machine learning, or natural language processing, with a focus on prompt engineering or similar areas.
- Proficient in programming languages such as Python, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of AI/ML model architectures, especially generative models.
- Experience in analyzing and interpreting large datasets to inform engineering decisions.
- Excellent communication and leadership skills, with the ability to collaborate effectively across teams.
- Passion for innovation and a strong desire to stay updated with the latest AI trends and technologies.
