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

Remote, USA Full-time Posted 2026-06-16

About the position 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.

Requirements

  • 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 2 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.

Nice-to-haves

  • 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.

Benefits

  • Employee Assistance Program
  • Paid Sick Time
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Voluntary Life Insurance
  • Accident, Critical Illness, Hospital Indemnity Insurance
  • 401(k) Retirement Plan
  • Verify identity and eligibility to work in the United States
  • Complete a required employment eligibility verification form

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