Senior Prompt Engineer - AI Optimization and Tuning Lead

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

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.

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