Prompt Engineer at Photon

Posted on (21 days ago)

Location: McKinney, TX, United States

Industry: IT Services and IT Consulting

Job Type: full-time

Experience Level: associate

Remote: on-site

Job Description

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.

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.

Responsibilities

  • 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.
  • Implement and deploy AI models and algorithms in production environments.
  • Conduct experiments and provide insights to improve prompt generation models.

Requirements

  • 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.
  • 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.
  • Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience with version control systems such as Git.