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

?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.

• 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.?

Originally posted on Himalayas