Prompt Engineer at Welo Global

Posted on (an hour ago)

United States
Remote

Industry: Artificial Intelligence

Job Type: Part-time

Experience Level: Associate

Job Description

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

  • Native fluency in English.
  • Must be based in the 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.
  • At least 2 years of experience as a Prompt Engineer.
  • Proven experience tuning Large Language Models (LLMs) for strict, structured outputs and 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.
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