Prompt Engineer

Palazzo is an innovative startup positioned at the intersection of technology and interior design, dedicated to revolutionizing home design through the application of generative AI. Our mission is to democratize sophisticated design, making it accessible to everyone. Palazzo is actively developing a dynamic platform that not only visualizes interior design concepts but also seamlessly connects users with a diverse range of home improvement services.

Job Description: Prompt Engineer

As a Prompt Engineer at Palazzo, you will be pivotal in shaping and fine-tuning prompts and instructions for our AI models, including ChatGPT, while integrating Stable Diffusion Knowledge to optimize model performance. This role places you at the forefront of natural language processing, contributing to the design and enhancement of AI model prompts incorporating the latest advancements in the field.

Key Responsibilities:

  • Collaborate with our research and development teams to define and refine prompts and instructions for AI models, with a specific focus on models like ChatGPT.
  • Experiment with diverse prompts and techniques to enhance model performance, leveraging Stable Diffusion Knowledge where applicable.
  • Analyze model outputs and provide feedback for ongoing model refinement, integrating insights from ChatGPT and Stable Diffusion.
  • Stay current with the latest advancements in natural language processing and machine learning, including technologies like ChatGPT and Stable Diffusion methods.
  • Participate in the training and evaluation of AI models, ensuring their optimal integration with ChatGPT and Stable Diffusion Knowledge.
  • Continuously monitor and assess model performance, making necessary adjustments, particularly in the context of ChatGPT.


  • Bachelor's degree in Computer Science, Natural Language Processing, or a related field (Master's or Ph.D. is a plus).
  • Strong knowledge of natural language processing and machine learning concepts.
  • Proficiency in programming languages like Python.
  • Experience with machine learning frameworks, such as TensorFlow or PyTorch.
  • Familiarity with NLP libraries and tools, including ChatGPT, Hugging Face Transformers, spaCy, or NLTK.
  • Excellent problem-solving skills and creative thinking.
  • Strong communication and collaboration skills.
  • Detail-oriented with a focus on quality and accuracy.
  • Knowledge of Stable Diffusion techniques in machine learning is a strong plus.


  • Previous experience working with large language models like ChatGPT and knowledge of its capabilities.
  • Publications or contributions to the NLP and AI communities, especially in the context of ChatGPT and Stable Diffusion.
  • Experience with deep learning techniques and training neural networks, including models incorporating Stable Diffusion Knowledge.

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