Remote Generative AI Engineer

This is a remote position.

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.
  

The secret ingredients that make us special:

• Your growth is our growth. We invest in your future with paid training and other professional opportunities.
  
• We’re industry innovators at the forefront of change. Equipped with the latest technologies and a team of knowledgeable colleagues by your side, you’ll embrace new and interesting challenges.
  
• Your location. Your schedule — Pick your time zone, choose your preferred hours, and work from the place where you feel most at home.
  
• Flexibility and freedom are in our DNA! As long as you have a stable internet connection and the drive to thrive, you can travel and work from anywhere you like.
  
• A workload you can rely on. We’ll set you enough tasks to keep that mind busy! At Scopic, we’ll ensure you always have a consistent flow of engaging, challenging work to do.
  
• Recognition and reward. We acknowledge diligence and hard work through annual pay increases for good performance.
  

Down to business!

• Your starting rate is negotiable depending on your skills and experience.
  
• This is an hourly paid position.
  
• Contractors are paid monthly via wire transfer.
  

Our values:

Scopic is an equal-opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, marital status, national origin, gender, veteran status, sexual orientation, age, or disability status.

Have the skills, the drive, and the passion to join the Scopic family?

Apply today to join our growing team of remote professionals from around the world.