AI Prompt Engineer

Responsibilities:

• Design and develop advanced prompt commands aligned with enterprise application workflows.
• Build, organize, and maintain a centralized prompt library for scalable, enterprise-wide usage.
• Create technical prompts tailored for developers, QA testers, and techno-functional users to streamline scenarios across the application lifecycle.
• Collaborate with application developers, QA teams, and functional users to understand processes and craft relevant prompts.
• Implement best practices for prompt versioning, validation, and reuse within the organization.
• Ensure prompts facilitate effective interaction with AI models while safeguarding accuracy, relevance, and safety.
• Document prompt strategies, usage protocols, and library architecture for enterprise users.
• Continuously improve prompts based on feedback, AI output analysis, and evolving application needs.
• Provide guidance and training to technical teams on optimized prompt usage in enterprise workflows.

Requirements:

• Proven experience in prompt engineering within enterprise or application development environments.
• Strong understanding of application development lifecycle, including requirements analysis, design, testing, deployment, and maintenance.
• Solid background in software development, with experience in coding and scripting (e.g., Java, C#, SQL, Python, JavaScript, etc.).
• Deep knowledge of NLP, large language models, and AI interaction design.
• Experience in setting up and managing enterprise prompt libraries, repositories, or knowledge bases.
• Excellent communication skills and ability to translate technical concepts into well-structured prompts.
• Analytical mindset with a focus on continuous improvement and best practices.

Preferred Skills:

• Prior hands-on experience in application development projects across multiple phases.
• Familiarity with AI deployment tools, version control, and documentation platforms.
• Understanding of enterprise application architecture and integration points.
• Exposure to AGILE or DevOps methodologies