Prompt Engineer
20 hours ago
Key Responsibilities :
- Design, develop, test, and refine prompts to interact effectively with generative AI models, ensuring high-quality, relevant, and contextually accurate outputs.
- Collaborate with cross-functional business groups to document requirements on gen AI use cases and translate them into effective AI prompts.
- Lead and manage prompt engineering delivery from design through implementation, ensuring timely delivery and alignment with business objectives
- 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.
- Create and maintain comprehensive documentation of prompt engineering processes, best practices, and use cases. Contribute to the development of a centralized prompt repository for reusability across the organization.
- Actively contribute to initiatives aimed at expanding prompt engineering capabilities and improving or optimizing prompt engineering service delivery.
Required Skills and Qualifications :
- Bachelor's degree.
- Hands on experience in Python with experience in web API integration..
- Excellent problem-solving skills and creative mindset.
- 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 in M365 Copilot
- Prior experience in Prompt Engineering.
- Power Platform (Power BI, Power Apps)
- Robotic Process Automation
- 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
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