AI Prompt Engineer and Fine-Tuner

e2f, inc.; Brasil; On-site; BRL 80,000 - 120,000; Full time

Job summary

e2f, inc. is seeking an AI Prompt Engineer and Fine-Tuner responsible for optimizing interactions with AI language models. The role involves crafting effective prompts and fine-tuning responses based on specific use cases. Candidates should possess strong knowledge of AI models and experience in natural language processing.

Ideal applicants will hold a relevant degree and demonstrate problem-solving skills, creativity in prompt design, and strong teamwork abilities. Familiarity with programming languages like Python is favorable.

Qualifications

• Strong understanding of AI language models, particularly GPT-4 or similar.
• Experience in natural language processing, machine learning, and data analysis.
• Excellent problem-solving skills and creativity in prompt design.

Responsibilities

• Design and test prompts that guide AI language models.
• Customize the model's responses ensuring user requirements are met.
• Conduct rigorous testing to identify biases in model responses.
• Work with UX designers to enhance user interaction with the AI model.
• Create documentation and train team members on best practices.

Skills

Understanding of AI language models

Natural language processing

Problem-solving skills

Creativity in prompt design

Communication and teamwork

Education

Bachelor’s or Master’s degree in Computer Science, Linguistics, AI, or related field

Tools

Python

Job description

Overview: The AI Prompt Engineer and Fine-Tuner is responsible for optimizing the interactions with AI language models. This role involves crafting effective prompts to elicit desired responses from the model and fine-tuning the model's responses for specific use cases. The ideal candidate will have a strong understanding of AI language models, natural language processing, and user experience design.

Responsibilities

• Prompt Engineering: Design and test prompts that effectively guide AI language models to generate accurate, relevant, and coherent responses. Analyze different prompting strategies and their outcomes to continually improve model interactions.
• Model Fine-Tuning: Customize the model\'s responses for specific applications, ensuring they meet user requirements and business objectives. Collaborate with data scientists and engineers to fine-tune the model based on feedback and performance metrics.
• Quality Assurance: Conduct rigorous testing to identify any biases or inaccuracies in the model\'s responses. Implement strategies to mitigate any identified issues, ensuring ethical and responsible use of AI technology.
• User Experience Design: Work closely with UX designers to ensure that prompts and responses enhance user interaction with the AI model. Develop guidelines and best practices for prompt creation and model interaction.
• Documentation and Training: Create comprehensive documentation on prompt engineering and fine-tuning processes. Train other team members on best practices and methodologies.

Qualifications

• Strong understanding of AI language models, particularly GPT-4 or similar technologies.
• Experience in natural language processing, machine learning, and data analysis.
• Excellent problem-solving skills and creativity in prompt design.
• Strong communication and teamwork abilities.
• Familiarity with programming languages such as Python is a plus.

Desired Qualifications

• Bachelor’s or Master’s degree in Computer Science, Linguistics, AI, or a related field.
• Proven experience in the AI and data industry with a focus on natural language processing, machine learning, and data analysis.