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Prompt Engineer: LLM Migration & Optimization

Job in Lenexa, Johnson County, Kansas, 66215, USA
Listing for: Welo Data
Part Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

United States.

  • Remote
  • Part-Time

Are you an expert at navigating the complex logic of Large Language Models?
Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This isn't just about writing prompts—it’s about engineering a technical bridge. You will use advanced APG/APO tools and manual refinement to ensure our automated systems meet (and exceed) human accuracy baselines.

The Mission:
Architecting the Future of Rating
  • Technical Migration:
    Take ownership of the workflow for transitioning templates to LLM autoraters.
  • Optimization Leadership:
    Run and supervise Automated Prompt Optimization (APO) tools, identifying where logic plateaus and providing the manual "spark" to overcome deadlocks.
  • Metrics-Driven Accuracy:
    Continuously measure quality against gold data, calculating critical performance metrics like precision, recall, and $F_1$ scores.
  • Edge-Case Engineering:
    Solve complex scenarios by designing manual prompts that handle anti-patterns and broken logic in legacy architectures.
Project Details
  • Schedule:

    Part-Time (Flexible hours within project milestones)
  • Location:

    100% Remote (Must be based in the United States)
  • Employment Type:

    Freelance / Independent Contractor
Who We Are Looking For
  • Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. You must be comfortable tuning LLMs for structured outputs and complex classification tasks.
  • Academic Background: BS, MS, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Technical Agility:
    Fast learner capable of mastering proprietary internal tools and interfaces (like the Goose API) with minimal supervision.
  • Data Fluency:
    Strong ability to identify error patterns and use SQL or data analytics tools to analyze model performance.
Preferred Skills
  • Familiarity with shadowbot disagreement tracking between humans and LLMs.
  • Hands-on experience with Chain-of-Thought (CoT) and few-shot learning.
  • Proven ability to draft high-level Launch Certification Documentation.
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