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

Remote

San Francisco (CA)

Remote

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Remote is seeking a Prompt Engineer based in Italy to manage end-to-end migration workflows for templates to LLM authorators. You will leverage internal tools to maximize model performance through prompt engineering techniques.

You will individually draft, test, and refine prompts, supervise automated prompt tools, and monitor evaluation metrics like F1 and recall to ensure high-quality outputs. Remote collaboration across teams is expected.

Qualifications

  • Native Italian language required; fluent English.
  • Based in Italy; remote work allowed.
  • Bachelor's/Master's/Doctorate in CS/DS/CL/HCI or related.
  • 4+ years as Prompt Engineer; tuning LLMs for structured outputs.
  • Strong data analysis skills; SQL or equivalent.
  • Proactive with proprietary tools; strong communication.

Responsibilities

  • Use APG tools to create baseline prompts for complex template clusters.
  • Oversee APO tool; review outputs and flag deadlocks/plateaus.
  • Draft and refine prompts for complex templates and edge cases.
  • Monitor shadowbot runs; ensure disagreements are tracked.
  • Measure autorater accuracy against human baseline (F1/precision/recall).
  • Draft Launch Certification Documentation for readiness.

Skills

Italian language
English language
Prompt Engineering
LLM tuning
Data analysis
SQL
Technical agility
Communication

Education

BS/MS/PhD in CS/DS/CL/HCI or related analytical field

Tools

Goose API
APO systems

Job description

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