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.

KPMG India

New Jobs

KGS-Prompt Engineer-Consultant-Gurgaon