🌟 We're Hiring: Prompt Engineer! 🌟
We are seeking an experienced and innovative Prompt Engineer to join our team in Singapore. The ideal candidate will possess extensive knowledge in prompt design, optimization, and implementation for AI applications. You will play a pivotal role in enhancing user interactions and improving AI performance through effective prompt engineering.
📍 Location: Singapore, Singapore
⏰ Work Mode: Work From Office
💼 Role: Prompt Engineering
What You'll Do
10+ yrs of experience
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.
