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

Remote

San Francisco (CA)

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Remote is seeking a Prompt Engineer to manage the end-to-end migration workflow for template-to-LLM autoraters. The role involves leveraging internal tools to maximize model performance through advanced prompt techniques and rigorous evaluation against gold data.

The ideal candidate has 4+ years in prompt engineering, strong data analysis skills (SQL), and proven ability to navigate complex template architectures while maintaining high-quality structured outputs.

Qualifications

  • Native fluency in Dutch and fluent English.
  • Bachelor’s, Master’s or Doctorate in a related analytical field.
  • 4+ years of Prompt Engineer experience with LLMs tuning.
  • Experience optimizing prompts for structured outputs and few-shot learning.

Responsibilities

  • Use APG tools to create baseline prompts for template clusters.
  • Run and supervise APO tool; flag deadlocks or plateaus.
  • Draft, test, and refine prompts for complex templates and edge cases.
  • Monitor shadowbot runs to ensure disagreements are captured and tracked.
  • Evaluate autorater against gold data; calculate F1, precision and recall.
  • Draft Launch Certification Documentation for technical readiness.

Skills

Dutch native
English fluent
Prompt engineering
LLMs tuning
Few-shot learning
Communication skills

Education

CS / Data Science / Computational Linguistics degree

Tools

SQL

Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. 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.

  • 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.

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, or a related analytical 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: Strong proficiency in identifying error 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.

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