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

Welo Global

United States

Remote

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

Welo Global is seeking a Prompt Engineer to manage end-to-end technical migration workflows for transitioning templates to LLM autoraters. You will leverage internal APG and APO tools to maximize model performance and ensure high-quality outputs across complex template architectures.

The role requires native Italian fluency, strong English, and a track record of 4+ years in prompt engineering, LLM tuning, and data analysis.

Qualifications

  • Native fluency in Italian and fluent in English.
  • Based in Italy or capable of working from Italy.
  • Bachelor’s/Master’s/PhD in Computer Science, Data Science, Computational Linguistics, HCI, Cognitive Science, or related field.
  • 4+ years’ experience as a Prompt Engineer.
  • Experience tuning LLMs for structured outputs and complex classification tasks.

Responsibilities

  • Utilize APG tools to create baseline prompts for complex template clusters.
  • Run and supervise APO tool, review outputs, flag deadlocks/plateaus.
  • Manually draft, test, and refine prompts for complex templates and edge cases.
  • Design manual prompts to handle edge-case scenarios where tooling is lacking.
  • Monitor shadowbot runs and ensure disagreements between human and LLM ratings are tracked.

Skills

Italian language
English language
Prompt engineering
LLM tuning
Data analysis
SQL
Adaptability
Communication

Education

Bachelor’s/Master’s/PhD in CS or related analytical field

Tools

Goose API

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.
  • 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.
Requirements
  • Language Skills: Native fluency in Italian and fluent in English.
  • Location: Must be based in Italy.
  • Education: Bachelor's, Master's, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or 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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