AI Prompt Engineer

Location:

Boston, Massachusetts

Date Posted:

5/20/2025

Employment Type:

Consulting

Recruiter:

Clayton Minnich

Recruiter Email:

clayton.minnich@avidtr.com

Job ID:

JN -052025-17252

Job Description

This role focuses on crafting prompts that drive accurate, user-aligned outputs for service automation, administrative support, and digital assistance tools. The ideal candidate brings strong NLP skills, attention to linguistic nuance, and a keen understanding of LLM capabilities.

Key Responsibilities:

Design and refine prompts for LLM applications in areas such as support automation and administrative workflows
Test and evaluate prompt performance across edge cases, user types, and evolving model behavior
Collaborate with subject matter experts to adapt AI responses to domain-specific needs
Analyze output quality, model behavior, and feedback to improve consistency and accuracy
Document prompt strategies and maintain reusable frameworks and templates
Ensure ethical, user-aligned, and policy-compliant AI interactions
Respond to high-priority prompt failures or issues affecting live systems (as needed)

Minimum Qualifications:

2+ years of experience with LLMs and prompt engineering for enterprise applications
Deep understanding of NLP concepts, conversational AI, and semantic context
Experience designing structured, context-aware prompts to guide LLM outputs
Strong testing and quality assurance mindset, with the ability to identify and resolve prompt failures
Ability to collaborate across technical and non-technical teams, gathering requirements and refining outputs
Excellent documentation, writing, and presentation skills
Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, or a related field (advanced degree preferred)

Preferred Experience:

Experience working with AI tools in complex organizations or higher education environments
Familiarity with LLM safety practices, prompt auditing, and content governance
Understanding of ethical AI, bias mitigation, and responsible use guidelines

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