Project Lion

# Project Lion - Senior Prompt Engineer - Italy (Remote, Part-Time)Welo GlobalSalary not statedContractremote· seniorItalyllmsqlListed via Jobicy · posted 8 Nov **.
The application happens there, not on DevConnect.Apply on Jobicy## DescriptionWe 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 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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