Remote Generative AI Engineer

 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.

Attention Job Seekers: Please be aware that scammers may  be fraudulently using our company's name in hiring scams. To ensure your  safety, all legitimate communication regarding job opportunities from  our company will only come from email addresses ending with          @scopicsoftware.com. Please exercise caution and report any suspicious activity to our official channels.