Dutch Senior Prompt Engineer: LLM Migration & Optimization

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. Project Details 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. Candidate Profile 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. Preferred Technical Skills 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 .