AI Prompt Engineer

Key responsibilities

• Prompt engineering:

  Design, write, and refine text-based prompts for AI models like Large Language Models (LLMs) to ensure accurate and relevant outputs.

• Testing and optimization:

  Test different prompt strategies, analyze the results, and iterate on prompts to improve AI performance.

• Collaboration:

  Work closely with data scientists, machine learning engineers, and software developers to enhance AI systems and troubleshoot issues.

• Framework development:

  Create prompt templates, guidelines, and reusable libraries to standardize and improve prompt generation for various use cases.

• Performance analysis:

  Catalog responses and provide feedback to engineering teams on areas where the AI needs improvement.

• Documentation and training:

  Document prompt frameworks and create tutorials to help others use AI tools more effectively.

Essential skills

• Technical skills:

  Basic programming skills, especially in languages like Python, are often beneficial.

• Creativity and analytical skills:

  A blend of both is needed to design effective prompts and analyze their outcomes.

• Understanding of AI:

  Familiarity with how AI models, particularly NLP and LLMs, work is crucial.

• Strong language and communication:

  The ability to craft precise language and clear instructions is fundamental to the role.