AI Prompt Engineer

As a Prompt Engineer your responsibilities include working with our content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning.

Ultimately, you will be hands on working directly with Development teams to create and improve prompts that enable more efficient usage of Github copilot.

RESPONSIBILITIES

• Rapid Prompt Developing and Refinement - Develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.
• Context and Constraint Management - Understand how to provide Copilot with the necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide its suggestions.
• Prompt Experimentation and Testing - Conduct experiments to evaluate different prompt strategies and identify best practices.
• Prompt Documentation and Library Creation - Create and maintain a library of effective prompts or prompt chains for various tasks.
• User Education and Training - Develop tutorials and resources to help developers learn and improve their prompt engineering skills.
• Feedback and Iteration - Analyze Copilot's responses and identify areas for improvement, suggesting updates to the model or prompting techniques.
• Team Collaborate – Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
• Prompt Experiments – Conduct experiments and research to test new prompting techniques and optimize existing workflows.
• Keeping ahead on Strategy – Stay up to date on the latest advancements in national language processing (NLP) and AI, and apply those insights to your work.
• Documenting to enable sharing of knowledge and Best Practices - Document and communicate your work clearly and concisely to technical and non-technical audiences for future reference.

1. Proven experience in AI and NLP, preferably in prompt generation or related areas.
2. Strong programming skills in languages such as Python or Java.
3. Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
4. Development using Github copilot
5. Familiarity with cloud platforms such as AWS, GCP, or Azure.
6. Knowledge of software development methodologies and best practices.
7. Experience with version control systems such as Git.
8. Strong problem-solving and analytical skills, with the ability to think critically and creatively.
9. Excellent written and verbal communication skills.
10. Ability to work independently and as part of a team, with a strong sense of responsibility and accountability.