Prompt Engineer - Generative AI (4-6 yrs)

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