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

Welo Global; United States; Remoto; USD 67.000 - 100.000; Tempo integral

Resumo da vaga

Jobicy seeks a Prompt Engineer to manage the end-to-end technical migration workflow for transitioning templates to LLM autoraters. You will use client’s internal tools to apply prompt engineering techniques to maximize model performance.

The role requires native Portuguese and fluent English, based in Portugal, with a strong background in CS/Data Science. You will oversee APG and APO, refine prompts, and validate results against gold data, delivering launch readiness documentation.

Qualificações

• Language proficiency in Portuguese (native) and English (fluent).
• Bachelor’s, Master’s, or Doctorate in CS/DS/CL/HCI/Cognitive Science or related field.
• 4+ years as Prompt Engineer with LLM tuning experience.
• Experience with structured outputs, classification tasks, few-shot learning.
• Proficiency in data analysis and identifying error patterns (SQL or similar).
• Ability to learn proprietary tools quickly with minimal supervision.

Responsabilidades

• Use APG tools to generate baseline prompts for template clusters.
• Run and supervise APO tool, review outputs and flag deadlocks/plateaus.
• Draft, test, and refine prompts for complex templates and edge cases.
• Monitor shadowbot runs to ensure disagreements are registered and tracked.
• Evaluate prompts against gold data and measure accuracy (F1, precision, recall).
• Draft Launch Certification Documentation for technical readiness.

Conhecimentos

Portuguese fluency

English fluency

Data analysis

Communication

Prompt engineering

Learning new tools

Formação

Bachelor’s/Master’s/Doctorate in CS/DS/Computational Linguistics/HCI/Cognitive Science

Ferramentas

SQL

Descrição da vaga

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.

Requirements

• Language Skills: Native fluency in Portuguese and fluent in English.
• Location: Must be based in Portugal.
• 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.