Korn Ferry

2023-07-25
Anywhere/ Remote

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Prompt API Engineer, Product Development

As a Prompt Engineer, you will play a crucial role in developing and enhancing the natural language generation capabilities of our AI-powered systems. You will collaborate with a team of data scientists, machine learning engineers, and software developers to design, implement, and optimize the prompt architecture for our AI models. The ideal candidate will have a strong background in natural language processing, machine learning, and software engineering.

Key Respnsibilities And Accountabilities

Collaborate with data scientists and machine learning engineers to develop prompt architectures for AI models and design effective strategies for natural language generation.
Implement and optimize prompt engineering techniques to improve the performance and accuracy of language models.
Collect and preprocess training data, ensuring data quality and integrity for prompt engineering tasks.
Fine-tune and adapt pre-trained language models to specific domains or applications, leveraging transfer learning techniques.
Collaborate with software engineers to integrate prompt engineering solutions into existing AI systems and applications.
Evaluate and benchmark various prompt engineering techniques and propose improvements to enhance model performance.
Stay updated with the latest research in prompt engineering, natural language processing, and machine learning, and apply relevant advancements to improve the prompt engineering capabilities of our systems.
Document and communicate prompt engineering strategies, methodologies, and best practices to the wider team.
Collaborate with data engineers to ensure the availability and integrity of data sources for prompt engineering tasks.
Contribute to the overall AI system development lifecycle, including testing, debugging, and troubleshooting prompt engineering components.
Keep track of industry trends and emerging technologies in prompt engineering and contribute to the continuous improvement of our AI systems.

Professional Experience/Qualifications/Skills

Minimum 2-3 years’ experience in prompt engineering, natural language processing, or a related field, with a strong understanding of machine learning and deep learning techniques.
Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or Keras.
In-depth knowledge of natural language processing techniques, including text classification, named entity recognition, sentiment analysis, and language generation.
Familiarity with language models such as GPT-3, BERT, or XLNet, and experience fine-tuning and adapting these models for specific applications.
Solid understanding of machine learning methodologies, including data preprocessing, feature engineering, and model evaluation.
Experience with text data preprocessing techniques, such as tokenization, stemming, and lemmatization.
Proficient in building and optimizing data pipelines for large-scale text data processing using tools like Apache Spark or Elasticsearch.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, and experience with deploying and managing machine learning models in a cloud environment.
Familiarity with version control systems like Git, and experience with collaborative software development practices in a team environment.
Strong problem-solving skills and the ability to analyze and understand complex system requirements.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and effectively communicate technical concepts to non-technical stakeholders.

Education

Bachelor’s degree with a minimum of 4 years’ experience, or master’s degree with 2 years’ experience