About the Role
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 English. • Location Must be based in United States. • 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. Federal Law Compliance In compliance with federal law, all persons hired will be required to - Verify identity and eligibility to work in the United States; and - Complete a required employment eligibility verification form. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) Apply tot his job Apply To this Job
