Senior Prompt Engineer - LLM Evaluation & AI Role in Columbus
Career & Market Insight
This is a specialized, senior-level Prompt Engineering role requiring 4+ years of experience — placing it firmly in mid-to-senior territory. The work centers on LLM autorater systems, which is a rapidly growing niche within AI quality evaluation and ML Ops.
Compensation note: No salary is listed, which is a yellow flag. For a 4+ year Prompt Engineer in Japan (especially on enterprise AI projects), market rates typically range from ¥8M–¥15M annually, depending on the client and contract structure. Candidates should negotiate firmly.
Skills you'll develop and strengthen:
- Advanced LLM prompt optimization (APG/APO pipelines) — highly in-demand as AI adoption scales
- Autorater design and F1/precision/recall evaluation — transferable to AI safety and ML evaluation roles
- Chain-of-thought and few-shot learning techniques — foundational for applied AI engineering
- SQL-based model performance analysis — broadly marketable
Green flags: The role involves measurable, impact-driven work (accuracy metrics, gold data benchmarks) that builds a strong portfolio. The niche in Japanese-language LLM evaluation is particularly valuable as demand for non-English AI quality work grows.
Red flags: No benefits, salary, or company culture details are provided. The "client's internal tools" framing suggests a contractor or staffing arrangement rather than a direct hire, which may limit career growth pathways and stability. Clarify employment type before applying.
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 requires using the 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) tools, review 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 approval.
Requirements
- Language Skills: Native fluency in Japanese and fluent in English.
- Location: Must be based in Japan.
- 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 4 years' experience as a 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.
Optional / Preferred Skills
- 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.
Frequently Asked Questions
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