
AI-Powered Prompt Engineer
1 week ago
As a Prompt Optimization Specialist, your key responsibilities involve collaborating with cross-functional teams to develop and refine prompts for AI-powered tools. This includes analyzing performance metrics, staying up-to-date on advancements in AI, natural language processing, and machine learning, and working closely with development teams to create and improve prompts that enable efficient usage of GitHub Copilot.
Key Responsibilities:
- Strategic Prompt Development: Develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.
- Contextual Understanding: Provide necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide AI 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 AI responses and identify areas for improvement, suggesting updates to the model or prompting techniques.
- Team Collaboration: Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
Requirements:
12+ years of experience required
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