Senior Dutch Prompt Engineer - Remote, Part-Time; NL

Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a highly technical Senior Prompt Engineer based in Netherlands to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This is a specialized role for a technical architect who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human accuracy baselines in both German and English contexts.

The Mission:
Automated Quality at Scale

• Architectural Migration:
  Take full ownership of the end-to-end technical migration of templates to LLM autoraters.
• Optimization Leadership:
  Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and logic deadlocks.
• Metrics-Driven Excellence:
  Continuously measure quality against "gold data" baselines, tracking precision, recall, and F1 scores to justify launch readiness.
• Edge-Case Engineering:
  Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools cannot solve.

• Schedule:
  
  Part-Time (Set your own hours within project milestones).
• Location:
  
  100% Remote (Must be currently based in Netherlands).
• Language:
  Native fluency in Dutch and professional fluency in English.
• Employment Type:
  
  Freelance / Independent Contractor.

• Educational Foundation:
  Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
• Prompt Engineering Mastery: 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning.
• Analytical Power:
  High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance.
• Technical Agility:
  Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight.

• Familiarity with shadowbot monitoring and disagreement tracking between human and LLM ratings.
• Hands-on experience with Chain-of-Thought (CoT) prompting and APO systems.
• Deep linguistic expertise, including a strong understanding of semantics and formal logic.
• Proven ability to draft high-level Launch Certification Documentation.