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Prompt Engineer: LLM Migration & Optimization
Job in
Lenexa, Johnson County, Kansas, 66215, USA
Listed on 2026-06-04
Listing for:
Welo Data
Part Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst
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.
- Schedule:
Part-Time (Flexible hours within project milestones) - Location:
100% Remote (Must be based in the United States) - Employment Type:
Freelance / Independent Contractor
- 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.
- 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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