Project Lion - Senior Prompt Engineer - Spain (Remote, Part-Time)

 We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.

Responsibilities: 

• • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.

    
    
  
  

  • Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.

    
    
  
  

  • Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.

    
    
  
  

  • Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.

    
    
  
  

  • Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.

    
    
  
  

  • Draft technical launch readiness justifications (Launch Certification Documentation) for final.

    
    
  
  
  

Requirement: 

• • Language Skills: Native fluency in Spanish and fluent in English. 

    
    
  
  

  • Location: Must be based in Spain.

    
    
  
  

  • Education: Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. 

    
    
  
  

  • Prompt Engineering & AI Expertise: At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.

    
    
  
  
  

  • Data Analysis: Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. 

    
    
  
  

  • Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.

    
    
  
  

  • Communication: Excellent verbal and written communication skills.

    
    
  
  
  
  

Optional / Preferred Skills:

• • Familiarity with enterprise-grade LLM interfaces like the Goose API. 

    
    
  
  

  • Experience in AI model evaluation, data science, computational linguistics, or software engineering.

    
    
  
  

  • Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.

    
    
  
  

  • Linguistic expertise, including an understanding of semantics and logic.