Welo Global

Multilingual AI-enabled technology and content provider

Senior Prompt Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Part-timeRemote in NetherlandsNo salary listed

About the Job

Requirements

Native fluency in Dutch and fluency in English are required.
Must be based in the Netherlands.
A bachelor's, master's, or doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction, Cognitive Science, or a related analytical field is required.
At least four years of experience as a Prompt Engineer is required.
Experience tuning large language models for strict structured outputs and complex classification tasks is required, as is 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 is required.
Ability to quickly learn and master proprietary tools with minimal supervision is required.
Excellent verbal and written communication skills are required.

Responsibilities

Use Automatic Prompt Generation tools to create baseline prompts for complex parent-child template clusters.
Run and supervise the Automated Prompt Optimization tool, review its outputs, and flag deadlocks or plateaus.
Manually draft, test, and refine prompts for complex template architectures, anti-patterns, and edge cases where tooling is lacking or broken.
Monitor shadowbot runs to ensure sufficient disagreements between human and large language model ratings are registered, generated, and tracked.
Run prompt versions against established gold data to measure autorater quality against the human crowd baseline, calculating accuracy metrics including F1 scores, precision, and recall.
Draft technical launch-readiness justifications (Launch Certification Documentation) for final launch.

Desired Qualifications

Familiarity with enterprise-grade large language model interfaces such as the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.

 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. 

About the Company

Welo Global

Multilingual AI-enabled technology and content provider

Welo Global coordinates five specialized brands to deliver multilingual AI, technology, and content solutions for blue-chip clients across 300+ languages. Welocalize handles AI-enabled localization for technology teams; Welo Data supplies multilingual AI training data and model evaluation; Park IP offers patent translation and IP workflows; Welo Life Sciences creates multilingual content for pharma and medical devices; Adapt focuses on global SEO and marketing translation. Proprietary platforms—Opal for content localization, NIMO for AI supply-chain security, Legal Studio for IP workflows, and Adapt Studio for marketing translation—support these services. The company aims to help clients scale global AI and content initiatives through high-quality multilingual data, precise localization, and technology-enabled services.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

Recently Posted Jobs

Explore more opportunities at Welo Global

See more jobs