Senior Prompt Engineer (Spain) - LLM Tuning & Automation

Welo Global; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

Welo Global is seeking a Prompt Engineer to own the end-to-end migration workflow for translating templates into LLM-driven autoraters. You will leverage internal APG and APO tools to maximize model performance and ensure robust, structured outputs.

You will combine automated tooling with manual prompt engineering, handle edge cases, and document launch readiness. Native Spanish with fluent English is required, and a relevant advanced degree is expected.

Qualifications

• Native Spanish and fluent English required.
• Bachelor’s, Master’s, or Doctorate in Computer Science, Data Science, Computational Linguistics, HCI, Cognitive Science, or related analytical field.
• 4+ years’ experience as Prompt Engineer with LLM tuning for structured outputs.
• Proficient in data analysis and SQL or similar analytics tools.
• Ability to quickly learn proprietary tools with minimal supervision.
• Excellent verbal and written communication skills.

Responsibilities

• Utilize APG tools to create baseline prompts for complex template clusters.
• Run and supervise Automated Prompt Optimization (APO) tool, review outputs and flag deadlocks or plateaus.
• Manually draft, test, and refine prompts for complex template architectures and edge cases.
• Solve edge-case scenarios by designing and refining manual prompts.
• Monitor shadowbot runs to ensure disagreements are registered and tracked.
• Run prompts against gold data to measure autorater quality and metrics (F1, precision, recall).
• Draft Launch Certification Documentation for final release.

Skills

Spanish (native)

English (fluent)

Data analysis

SQL

Prompt engineering

LLM tuning

Communication

Education

Related analytical field degree

Tools

APG tools

Automated Prompt Optimization (APO)

Goose API

Job description

Welo Global is seeking a Prompt Engineer to own the end-to-end migration workflow for translating templates into LLM-driven autoraters. You will leverage internal APG and APO tools to maximize model performance and ensure robust, structured outputs.

You will combine automated tooling with manual prompt engineering, handle edge cases, and document launch readiness. Native Spanish with fluent English is required, and a relevant advanced degree is expected.