Project Lion - Lead Prompt Engineer - United States (Remote, Part-Time)

Devconnectplatform; United States; Remote; USD 83.000 - 138.000; Teilzeit

Zusammenfassung

Devconnectplatform seeks a Lead Prompt Engineer to guide a team through migrating templates to LLM autoraters and optimize model performance with advanced prompt techniques. You will oversee prompt generation, testing, and refinement to handle edge cases and ensure robust outputs.

The role demands 7+ years in prompt engineering, strong data analysis skills, and excellent communication. This is a remote, part-time position based in the United States, with influence on AI-driven solutions at scale.

Qualifikationen

• 7+ years of experience as Prompt Engineer
• Proven experience tuning LLMs for structured outputs
• Strong data analysis and SQL or similar tools
• Excellent verbal and written communication skills

Aufgaben

• Guide and manage a team through migration of templates to LLM autoraters
• Use APG/APO tools to generate and optimize prompts
• Draft and refine prompts to handle edge cases and anti-patterns
• Monitor shadowbot runs and ensure disagreements with human ratings are tracked
• Measure autorater quality against human baseline using F1, precision and recall

Kenntnisse

Prompt engineering

LLM tuning

Data analysis

Communication

Ausbildung

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

Tools

Goose API

Jobbeschreibung

# Project Lion - Lead Prompt Engineer - United States (Remote, Part-Time)Welo GlobalSalary not statedPart-timeremote· leadUSAllmsqlListed via Jobicy · posted 1 Nov 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionWe 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.Requirement:-Language Skills: Native fluency in English.-Location: Must be based in 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 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. CompensationAdditional InformationFederal 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 is 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)