Lenovo

Responsibilities:

• Assist in designing and testing various types of prompts to generate high-quality, coherent, and contextually relevant responses from AI models.
• Experiment with prompt variations to optimize model outputs for different applications, such as customer service, data analysis, content creation, etc.
• Evaluate AI model outputs based on specific performance metrics (e.g., accuracy, relevance, tone, consistency).
• Analyze and report findings on prompt performance to assist in the improvement and fine-tuning of prompts.
• Collaborate with the team to fine-tune AI models, adapting them to meet business-specific needs and use cases.
• Participate in identifying potential flaws or biases in AI-generated outputs and help address them through prompt engineering.
• Work closely with data scientists, machine learning engineers, and product managers to understand project requirements and translate them into effective prompts.
• Document prompt strategies, test cases, and performance evaluations for internal reference.
• Participate in team meetings and knowledge-sharing sessions to expand your understanding of prompt engineering and AI model development.

Qualification:

• Currently pursuing degree in Computer Science, Software Engineering, or a related field.
• Basic knowledge of AI/ML principles and Large Language Models (LLMs).
• Basic experience with programming languages such as Python, JavaScript, or similar.
• Familiarity with UI/UX design principles and front-end technologies such as HTML, CSS, JavaScript, and React.
• Strong problem-solving skills and the ability to think critically about user needs and AI integration.

Preferred Skills:

• Familiarity with AI governance and ethical AI practices.
• Knowledge of backend development frameworks such as Node.js, Django, or similar.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with tools like Figma, Sketch, or Adobe XD for UI/UX design.