Generative AI Engineer

• Design and refine prompts to optimize output quality for large language models (LLMs), image generation models, and other generative applications.
  
• Work with data engineering teams to curate, preprocess, and manage large datasets tailored for generative model training.
  
• Fine-tune generative AI models to meet specific project requirements, ensuring accuracy, relevance, and creativity in generated content.
  
• Collaborate with product and engineering teams to deploy generative AI solutions in user-facing applications, ensuring seamless integration and performance.
  
• Experiment with prompt engineering and data handling techniques to improve model response, coherence, and quality across diverse tasks.
  
• Stay up-to-date with advancements in Generative AI, prompting strategies, and data engineering best practices, implementing cutting-edge approaches as they emerge.
  
• Document experiments, prompting strategies, and model adjustments to share insights and best practices with the team.

Requirements:

• 3+ years of experience working with Generative AI, including large language models, image synthesis, and prompt engineering.
  
• Expertise in designing, testing, and optimizing prompts to achieve high-quality model outputs.
  
• Strong background in data engineering for generative AI, including data curation, cleaning, and augmentation techniques.
  
• Proficiency in Python and experience with generative AI libraries and frameworks like OpenAI, Hugging Face, or similar.
  
• Familiarity with techniques for fine-tuning large generative models (e.g., GPT, DALL-E) for specific applications.
  
• Understanding of MLOps practices for managing and deploying models in production.
  
• Bacheloror Masterdegree in Computer Science, AI, Data Science, or a related field.