As a Generative AI Prompt Engineer, you will be at the forefront of designing and optimizing the prompts that drive interactions with our state-of-the-art generative AI models. Your work will directly impact the effectiveness and efficiency of our AI-driven products and services, ensuring they meet the highest standards of relevance, accuracy, and user satisfaction.
Key Responsibilities:
- Develop and refine prompts to interact effectively with generative AI models, ensuring high-quality, relevant, and contextually accurate outputs.
- Collaborate with business groups to collect requirements on gen AI use cases.
- Collaborate with cross-functional teams, including machine learning engineers, product managers, and UX designers, to integrate prompt-driven AI features into RPA or other technologies.
- Conduct thorough testing and iteration of prompts based on user feedback and model performance data to continually improve output quality.
- Stay abreast of the latest developments in AI and prompt engineering practices to ensure our approaches remain cutting-edge.
- Address and mitigate biases in AI responses, promoting ethical AI usage that respects user privacy and fairness.
- Document prompt design processes and decisions, providing clear guidelines for best practices in prompt engineering within the organization.
Required Skills and Qualifications:
- Bachelor’s degree in computer science, Linguistics, Cognitive Science, or a related field.
- Proven hands-on experience in prompt engineering, AI development, with a strong portfolio of projects demonstrating expertise in generating effective AI interactions.
- Strong understanding of generative AI technologies and their underlying mechanisms. Strong understanding of prompting techniques and best practices.
- Excellent problem-solving skills and creativity in designing prompts for complex queries.
- Familiarity with AI ethics, including understanding and mitigating biases in AI outputs.
- Exceptional collaboration and communication skills, with the ability to work effectively in a team and articulate ideas to both technical and non-technical stakeholders.
- Agility and adaptability in a fast-paced, evolving technology landscape.
Preferred Qualifications:
- Experience with natural language processing (NLP) and machine learning (ML) frameworks and tools.
- Advanced degree in a relevant field.
- Published work or contributions to the field of AI, NLP, or computational linguistics.
