Prompt Engineer
1 week ago
**Job Summary**:
We are looking for a highly experienced **Prompt Engineer**to work closely with content creators, product teams, and data scientists to develop and optimize prompts for AI systems, specifically to enhance the use of GitHub Copilot. You will be hands-on collaborating with development teams to create and refine prompts that improve coding efficiency, bug fixing, and unit test generation.
**Key Responsibilities**:
- Develop and refine prompts for AI-assisted coding to achieve specific goals such as code snippet generation, bug fixes, and writing unit tests.
- Manage context and constraints to provide GitHub Copilot with the right information (code base, language, framework, libraries, coding style) to improve output quality.
- Design and run experiments to evaluate and optimize prompt strategies.
- Create and maintain a comprehensive library of effective prompts and prompt chains for various development tasks.
- Develop tutorials and training materials to upskill developers in prompt engineering techniques.
- Analyze AI responses, provide feedback, and suggest improvements to prompting methods and models.
- Collaborate cross-functionally with product teams, data scientists, and engineers to translate user needs into effective AI prompts.
- Conduct research and experiments to innovate new prompting techniques and enhance existing workflows.
- Stay updated on the latest advancements in AI, machine learning, and natural language processing (NLP).
- Document work clearly to share knowledge and best practices with technical and non-technical audiences.
**Requirements**:
- Minimum **12 years of experience**in software development, AI, or related fields.
- Deep understanding of prompt engineering, AI-assisted coding tools (e.g., GitHub Copilot), and natural language processing.
- Strong hands-on experience collaborating with development and data science teams.
- Ability to design and conduct prompt experiments, analyze results, and iterate quickly.
- Excellent communication skills for both technical and non-technical stakeholders.
- Up-to-date knowledge of the latest AI, NLP, and machine learning trends.
- Proactive, detail-oriented, and innovative mindset.
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