Lead Prompt Engineer & AI Strategy Lead

Remote

San Francisco (CA)

Remote

USD 180,000 - 270,000

Full time

14 days+

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Job summary

Remote is seeking a Lead Prompt Engineer to guide a team through migrating templates to LLM autoraters and optimize model performance. You will mentor engineers, shape strategy, and drive AI-driven solutions.

You will supervise APG/APO tooling, design manual prompts for edge cases, and monitor quality metrics to ensure alignment with human baselines. Federal compliance and verification steps are part of the onboarding process.

Qualifications

  • Master’s or Doctorate degree in CS, Data Science, Computational Linguistics, HCI, Cognitive Science, or related analytics field.
  • 7+ years’ experience as Prompt Engineer with LLM tuning for structured outputs.
  • Proficiency with SQL or other data analytics tools for error pattern analysis.
  • Ability to quickly learn and master 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 APO tool, review outputs, and flag deadlocks or plateaus.
  • Draft and refine prompts to handle edge cases where tooling is lacking or broken.
  • Monitor shadowbot runs to ensure disagreements between human and LLM ratings are captured.
  • Measure autorater quality against human baselines using metrics like F1, precision and recall.
  • Draft Launch Certification Documentation for technical launch readiness.

Skills

Prompt Engineer experience
LLM tuning
SQL/data analytics
Proprietary tools
Communication
Learning new tools

Education

Master’s or Doctorate in CS/DS/CL/HCI/Cognitive Science or related

Tools

Goose API

Job description

Remote is seeking a Lead Prompt Engineer to guide a team through migrating templates to LLM autoraters and optimize model performance. You will mentor engineers, shape strategy, and drive AI-driven solutions.

You will supervise APG/APO tooling, design manual prompts for edge cases, and monitor quality metrics to ensure alignment with human baselines. Federal compliance and verification steps are part of the onboarding process.

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