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

Welo Global; United States; Remote; USD 100,000 - 134,000; Full time

Job summary

Jobicy in the Netherlands is seeking a Prompt Engineer to own the end-to-end technical migration workflow for transitioning templates to LLM autoraters. You will leverage the client’s internal tools to maximize model performance using prompt engineering techniques.

You will create baseline prompts with APG, supervise APO outputs, and refine prompts to navigate complex template architectures. You will monitor shadowbot runs and measure autorater quality against human baselines, reporting launch

Qualifications

• Native fluency in Dutch and fluent in English.
• Located in the Netherlands.
• Bachelor’s, Master’s, or Doctorate in Computer Science, Data Science, Computational Linguistics, HCI, Cognitive Science, or related analytical field.
• At least 4 years’ experience as Prompt Engineer with proven ability tuning LLMs for structured outputs.
• Strong data analysis skills with SQL or similar analytics tools.
• Ability to quickly learn and master proprietary tooling with minimal supervision.
• Excellent verbal and written communication skills.

Responsibilities

• Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
• Run and supervise Automated Prompt Optimization (APO) tooling, review outputs, and flag deadlocks or plateaus.
• Manually draft, test, and refine prompts to navigate complex template architectures and edge cases.
• Monitor shadowbot runs to ensure disagreements between human and LLM ratings are registered and tracked.
• Run prompt versions against gold data to measure autorater quality against human baselines using accuracy metrics.
• Draft Launch Certification Documentation for final readiness.

Skills

Native Dutch

Fluent English

Data analysis

SQL

Technical agility

Communication skills

Education

Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, HCI, Cognitive Science, or related analytical field

Master’s degree in related field

Doctorate in related field

Tools

Goose API

Proprietary prompt tooling

Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLMautoraters. 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.
• Manuallydraft, 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.
• Monitorshadowbotruns to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
• Run prompt versions against established gold data to continuously measureautoraterquality 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 Dutch and fluent in English.
• Location: Must be based in Netherlands.
• Education: Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, ora relatedanalytical 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: Strongproficiencyinidentifyingerror 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.

Compensation

Additional Information