Junior Prompt Engineer - AI & LLMs, Hybrid Role in Reading

Junior Prompt Engineer - AI & LLMs, Hybrid Role in Reading

Reading Full-Time 28000 - 35000 Β£ / year (est.) No working from home possible
Moonfire

At a Glance

  • Tasks: Design, test, and optimise AI-powered solutions in a collaborative team.
  • Company: Moonfire, a forward-thinking company in Reading with a hybrid work model.
  • Benefits: Gain hands-on experience with Generative AI and LLMs while working flexibly.
  • Other info: Opportunity to learn and grow in a fast-paced, innovative environment.
  • Why this job: Join a dynamic team and make an impact in the exciting world of AI.
  • Qualifications: Recent graduate or early-career professional with a passion for AI technologies.

The predicted salary is between 28000 - 35000 Β£ per year.

Moonfire in Reading (hybrid) is seeking a Junior Prompt Engineer to design, test, and optimise AI-powered solutions.

This role suits a recent graduate or early-career professional with a passion for Generative AI and LLMs.

You will collaborate with AI Engineers and Software Developers to build AI workflows, refine prompts, and improve model performance while learning cutting-edge AI technologies in a dynamic team environment.

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Junior Prompt Engineer - AI & LLMs, Hybrid Role in Reading employer: Moonfire

Moonfire is an exceptional employer that fosters a vibrant and inclusive work culture, perfect for those who thrive in fast-paced environments. With a strong emphasis on employee growth and development, we offer unique opportunities for our team members to lead impactful projects and make significant architectural decisions. Join us in our mission to build effective teams while enjoying the benefits of a dynamic startup atmosphere.

Moonfire

Contact Details:

Moonfire Recruitment Team

We think you need these skills to ace Junior Prompt Engineer - AI & LLMs, Hybrid Role in Reading

Prompt Engineering
Generative AI
Large Language Models (LLMs)
Collaboration
AI Workflow Development
Model Performance Optimisation
Testing and Validation