Position: Senior Dutch Prompt Engineer - Remote, Part-Time (NL-based) Location: Florissant 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.

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