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Job description
We are seeking a Prompt Engineer to be responsible for the end‑to‑end technical migration workflow for transitioning templates to LLM auto‑raters. The role requires using 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. Design and refine manual prompts to solve edge‑case scenarios.
Monitor shadow‑bot 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 auto‑rater 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 release.
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 a related analytical field.
Prompt Engineering & AI Expertise: At least 4 years of experience as a 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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Who can apply
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