Prompt Engineer

Capgemini; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in IT consulting is seeking a Prompt Engineer to enhance prompt performance in AI-driven projects. The role includes collaboration with diverse teams to document effective practices, develop coding prompts, and educate users. Ideal candidates will possess a strong background in NLP and machine learning.

Qualifications

• Experience in prompt development and refinement.
• Familiarity with AI and NLP advancements.
• Ability to document and educate on technical concepts.

Responsibilities

• Develop and refine prompts for coding tasks like generating code snippets.
• Conduct user education and create resources for prompt improvement.
• Collaborate with teams to optimize prompt performance.

Skills

Natural Language Processing

Machine Learning

Code Generation

Collaboration

Research Skills

Job description

Job Description

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

Grade Specific Responsibilities

• Rapid Prompt Development 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 - Provide Copilot with necessary context (e.g., code base, language, framework) and constraints (e.g., libraries, coding style) to guide 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 for various tasks.
• User Education and Training - Develop tutorials and resources to help developers improve prompt engineering skills.
• Feedback and Iteration - Analyze responses and identify improvements, suggesting updates to models or prompting techniques.
• Team Collaboration - Work with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
• Research and Testing - Conduct experiments to test new prompting techniques and optimize workflows.
• Strategy and Innovation - Stay informed on advancements in NLP and AI, applying insights to your work.
• Knowledge Sharing - Document and communicate work clearly to both technical and non-technical audiences for future reference.

Seniority Level

• Mid-Senior level

Employment Type

• Full-time

Job Function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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