Project Lion - Lead Prompt Engineer - United States (Remote, Part-Time)

Welocalize is seeking a Lead Prompt Engineer to manage the technical migration workflow for templates to LLM autoraters. The role involves utilizing prompt engineering techniques to enhance model performance and ensuring quality through various optimization and monitoring tasks.

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

Requirements:

• Native fluency in English
• Must be based in United States
• 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
• Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning
• Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools
• Ability to quickly learn and master proprietary tools with minimal supervision
• Excellent verbal and written communication 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