WG
Project Lion - Senior Prompt Engineer - Netherland (Remote, Part-Time)
Welo Global
Contract type
Part-time
Work mode
Remote · Netherlands
Experience
Mid-level · 4+ years
Job description
Prompt Engineer responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters, using the client's internal tools and prompt engineering techniques to maximize model performance.
At a glance
- Work mode
- Remote · Netherlands
- Languages
- Dutch – native, English – fluent
What you'll do
- 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.
What we're looking for
- Native fluency in Dutch and fluent in English.
- Must be based in Netherlands.
- 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.
- 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.
- Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
- Ability to quickly learn and master proprietary tools with minimal supervision.
- Excellent verbal and written communication skills.
Nice to have
- 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.