Prompt Engineer

Key Skills

AWS, Azure, Deep Learning, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), PyTorch, SAP, Scrum Agile Methodology, TensorFlow

Job Description

As a Prompt Engineer, we expect you to handle the following.

• Design and develop prompts such as templates and instructions to be used as input for text and images generated by Generative AI.
• Evaluate the quality of the output generated by Generative AI and adjust the prompts to improve and enhance the quality of the output.
• Use APIs and scripts to implement prompt automation.
• Manage data content generated by Generative AI.

[Eligibility ]

• Experience in designing and developing machine learning and AI solutions using Python in business or academic fields
• Basic understanding of prompt engineering
• Basic understanding of natural language processing (NLP) and experience using NLP tools
• Basic understanding and experience with machine learning algorithms
• A basic understanding of Large Language Models (LLMs)
• Development experience using any cloud technology of Azure/AWS/GCP
• Understanding and experience in software engineering, including software lifecycle, code review, version control, and test automation
• Client Facing experience (explaining and negotiating with clients and team members)

[Desired experience and skills ]

• Basic understanding and design/implementation experience of Azure OpenAI Service
• Experience using Deep Learning libraries (PyTorch, TensorFlow, Microsoft DMTK, etc.)
• Scrum development experience
• Team lead or sub-lead experience
• Communication experience using business English

[People we want]

• Those who can communicate with respect to others
• Those who can take on challenges without fear of failure in order to maximize the value of the team and products
• Those who have an innovation mind that feels joy in turning 0 into 1
• Those who can define questions and issues according to the characteristics and circumstances of the project and promote problem solving in a hypothesis-driven manner
• Those who have a technical passion to keep up with the latest technology
• Those who can take a proposal-based approach, not just waiting for instructions and working as instructed
• Those who can take concrete actions toward what they want to do and their vision for the future
• Those who can respond flexibly to changes
• Those who have their own weapons that can be differentiated from others