Prompt Engineer

3 months ago


Bengaluru, India Sampoorna Consultants Pvt. Ltd Full time

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.

(ref:hirist.tech)
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