Job Description
The overall purpose of the GenAI Prompt Engineer position is to develop and optimize high-quality prompts for NLP applications. Collaborate with data scientists, machine learning engineers, and software developers to understand requirements and design effective prompt generation solutions.
Responsibilities
Conduct research and analyze state-of-the-art AI techniques to improve prompt generation models and algorithms.
Implement and deploy AI models and algorithms in production environments, ensuring scalability, reliability, and performance.
Collaborate with cross-functional teams to integrate prompt generation capabilities into existing NLP applications.
Conduct experiments, analyze data, and provide insights to improve the performance and effectiveness of prompt generation models.
Stay up-to-date with the latest advancements in AI and NLP research and apply relevant techniques to enhance prompt generation capabilities.
Collaborate with stakeholders to gather requirements and translate them into technical specifications.
Troubleshoot and debug issues related to prompt generation models and algorithms.
Document and communicate research findings, methodologies, and technical specifications to team members and stakeholders.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
Master's or Ph.D. degree in AI, NLP, or a related field is preferred.
Proven experience in AI and NLP, preferably in prompt generation or related areas.
Strong programming skills in languages such as Python or Java.
Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Knowledge of software development methodologies and best practices.
Experience with version control systems such as Git.
Strong problem-solving and analytical skills, with the ability to think critically and creatively.
Excellent written and verbal communication skills.
Ability to work independently and as part of a team, with a strong sense of responsibility and accountability.
Required Skills:
Strong proficiency in AI and NLP techniques, including deep learning, neural networks, and natural language processing.
Experience with AI programming languages such as Python, TensorFlow, or PyTorch.
Solid understanding of machine learning algorithms and their applications in NLP.
Proficiency in data analysis, statistical modeling, and experimental design.
Familiarity with prompt generation techniques and algorithms.
Strong problem-solving and analytical skills.
Ability to work collaboratively in a team environment.
Excellent communication and presentation skills.
Ability to multitask and prioritize workload effectively.
Strong attention to detail and a commitment to producing high-quality work.
Note: This job description is not exhaustive and may be subject to change or modification as per the company's needs.
