Lead Prompt Engineer - Remote US AI Role — Columbus
Traveler-Friendly Insight
This role carries a hard requirement: you must be physically based in the United States. The I-9 live video verification within the first 3 days of employment further anchors you to US soil, at least at onboarding. For digital nomads, this is a significant constraint — even if day-to-day work could theoretically be done remotely, the compliance obligations mean frequent or long-term international travel is not compatible with this position.
The job description does not mention specific office locations, suggesting the role may be remote-within-the-US. However, no async-friendly language, coworking stipends, or travel perks are mentioned.
What this means for nomads:
- Traveling outside the US while employed here would likely violate the location requirement and potentially your work authorization.
- No salary is disclosed, making cost-of-living comparisons impossible, but senior AI roles in the US typically command $130,000–$200,000+ annually — well above what you'd need in nomad hubs like Lisbon, Bangkok, or Medellín.
- If you're a US citizen or permanent resident looking to travel between US states while working remotely, this role could still offer flexibility — but full nomadic international travel is off the table.
If location-independent international travel is your priority, look instead for AI/prompt engineering roles at companies that explicitly offer global remote work with no country restrictions.
We are looking for an experienced Lead Prompt Engineer to guide and manage a team through the full technical migration process, transitioning templates to LLM autoraters. In this role, you will leverage advanced prompt engineering techniques and the client's internal tools to optimize model performance, ensuring the successful integration and ongoing enhancement of AI systems. As the team lead, you will drive the strategy, mentor junior engineers, and play a key role in shaping the future of our AI-driven solutions.
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 approval.
Requirements
- Language Skills: Native fluency in English.
- Location: Must be based in the United States.
- Education: 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 7 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.
Additional Information
Federal Law Compliance
In compliance with federal law, all persons hired will be required to:
- Verify identity and eligibility to work in the United States; and
- Complete a required employment eligibility verification form.
Please note that in order to verify work authorization as required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details click here.
Frequently Asked Questions
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