AI Prompt Engineer

JD for AI Prompt Eng

The ideal candidate will have a deep understanding of natural language processing (NLP), machine learning, and AI model behaviour. The candidate will be responsible for designing, testing, and optimizing prompts to improve the performance and accuracy of AI systems, particularly in generative models like GPT, BERT, and others.

Key Responsibilities:

1.Prompt Design and Optimization:

   - Develop and refine prompts to elicit desired responses from AI models.

   - Test and iterate on prompt designs to improve model performance across various tasks.   

2. Model Evaluation:

   - Evaluate the effectiveness of prompts in achieving specific outcomes.

   - Analyze model outputs to identify areas for improvement and adjust prompts accordingly.

3. Cross-Functional Collaboration:

   - Work closely with stakeholders across the business to understand user needs and translate them into effective prompts.

   - Provide insights and recommendations based on prompt performance

4. Stay and Innovation:

   - Stay up-to-date with the latest advancements in NLP and AI prompt engineering.

   - Experiment with new techniques and approaches to enhance prompt effectiveness.

5. Documentation and Knowledge Sharing:

   - Document best practices and guidelines for prompt engineering.

   - Share knowledge and mentor team members on prompt design and optimization techniques.

Experience:

  - Proven experience in NLP, machine learning, or AI model development.

  - Hands-on experience with generative AI models (e.g., GPT, BERT) and prompt engineering.

  - Familiarity with AI frameworks and tools

Skills:

  - Strong understanding of language models and their behaviour.

  - Excellent problem-solving and analytical skills.

  - Proficiency in programming languages such as Python.

  - Strong communication and collaboration skills.