Description

Are you passionate about harnessing Generative AI to create innovative applications? We’re seeking a Generative AI Engineer with expertise in prompting, data engineering, and model fine-tuning to bring advanced generative solutions to life. Join our team in a fully remote, full-time role focused exclusively on developing state-of-the-art generative AI capabilities.

Responsibilities

• 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.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.

Preferred Qualifications

• Experience with prompt engineering for various generative applications, including text, image, and audio.
• Knowledge of ethical considerations in Generative AI and responsible AI practices.
• Familiarity with cloud-based environments (AWS, GCP) for large-scale data handling and model deployment.
• Experience with data versioning and tracking tools such as DVC or similar.

Note: If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.