Vietnam Job Openings
Vinova Pte. Ltd
Prompt Engineer / AI Coding Trainer Hot
November 22, 2024
This role combines technical acumen, critical thinking, and a passion for AI to continuously improve AI-driven results.
Key Responsibilities
- Develop, test, and optimize input prompts for AI models to achieve desired outcomes.
- Analyze and review AI-generated responses for quality, accuracy, and relevance.
- Edit, refine, and improve both the prompts and the model’s responses to meet business or project needs.
- Collaborate with developers, data scientists, and other stakeholders to integrate the AI’s outputs into workflows or applications.
- Document prompt strategies, improvements, and best practices for future use.
- Stay updated on advancements in AI and natural language processing (NLP) to refine techniques.
- Use feedback and analytics to iteratively enhance AI interaction outcomes.
Technical Skills & Experience
- Bachelor’s Degree in Computer Science, Software Engineering, or a related field.
- Proficiency in programming languages like Python, Java Script, Java, or C++.
- Familiarity with frameworks, libraries, and APIs used in modern software development.
- Experience in reviewing code for quality, efficiency, and adherence to standards.
- Knowledge of debugging tools and techniques for identifying and resolving coding issues.
- Strong understanding of AI and machine learning concepts, particularly large language models (LLMs).
- Familiarity with how LLMs function, particularly for coding, debugging, and system design tasks.
- Knowledge of prompt engineering strategies for developer-specific use cases.
- Experience using tools like Open AI GPT, Anthropic Claude, or similar models.
- Strong written and verbal communication skills in English.
- Ability to craft clear, precise, and effective prompts and instructions for AI systems.
- Ability to identify and correct ambiguities, inconsistencies, or errors in AI outputs.
- Critical thinking and problem-solving abilities to evaluate and improve AI outputs.
- Strong attention to detail for assessing the relevance and quality of AI responses.
- Ability to work independently and collaboratively in dynamic teams.
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