Project Lion - Senior Prompt Engineer - Portugal (Remote, Part-Time)
At Welo Global · Porto, Portugal
- Engineering
- Contract
- Senior
Where you can work from
Open to Portugal
“Porto, Portugal”
From the location.
“Location: Must be based in Portugal.”
From the job description.
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- Posted
- 16 March 2026
- First seen by us
- 5 October 2026
- Last checked
- 23 hours ago
Job description
From Welo Global’s job post, as they wrote it.
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.
Read the full description
* 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 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, 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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