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Prompt Engineer Resume Sample

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Daniel Rivera

Prompt Engineer

Prompt Engineer with hands-on experience designing, testing, and refining prompts for large language models to improve accuracy, consistency, and task performance across business use cases, including content generation, data analysis, and customer support automation.

Experience

Prompt Engineer
NeuralCraft AI, San Jose, CA
March 2024 – Present
  • Designed structured prompts that improved response accuracy and relevance for enterprise AI chat tools.
  • Tested and refined prompts through iterative experimentation to reduce hallucinations and inconsistent outputs.
  • Collaborated with product and engineering teams to align prompts with user intent and business goals.
  • Created reusable prompt libraries for internal teams to speed up AI feature development.
  • Developed guardrail prompts to ensure outputs met compliance, privacy, and brand standards.
  • Monitored prompt performance using feedback loops and analytics to identify improvement areas.
  • Standardized prompt documentation to support scalability across multiple AI-powered features.
  • Assisted in fine-tuning prompt strategies for multilingual and domain-specific use cases.
Junior Prompt Engineer
BrightLogic Technologies
July 2022 – February 2024
  • Developed task-specific prompts for summarization, classification, and customer query handling.
  • Analyzed AI responses and documented prompt performance results for continuous improvement.
  • Assisted in building prompt templates for marketing, HR, and support automation workflows.
  • Supported prompt testing across multiple model versions and parameter settings.
  • Conducted A/B testing on prompts to compare response quality and consistency.
  • Helped reduce manual review time by improving prompt clarity and instruction design.
  • Maintained prompt version control to track changes and performance history.
  • Collaborated with QA teams to validate AI outputs before production deployment.
AI Content Specialist
InnoText Solutions, Austin, TX
January 2021 – June 2022
  • Crafted prompts to generate long-form content, FAQs, and knowledge base articles.
  • Reviewed AI-generated outputs for tone, clarity, and compliance with brand guidelines.
  • Worked with data teams to label and refine training examples for better model responses.
  • Helped transition manual content processes into AI-assisted workflows.
  • Optimized prompts to reduce repetitive language and improve content originality.
  • Supported editors by creating prompt guidelines for consistent content generation.
  • Assisted in testing early generative AI tools for editorial and publishing use cases.
  • Documented content quality issues and suggested prompt adjustments for improvement.

Education

Bachelor of Science in Computer Science
University of Texas, Austin
2017 – 2021

Projects

Prompt Library for Marketing Automation

Created reusable prompt templates for ads, emails, and landing page copy used by multiple teams.


AI Content Quality Evaluator

Designed evaluation prompts to score AI-generated content based on accuracy, tone, and readability.


Enterprise Chatbot Prompt Framework

Built a multi-layer prompt system for an internal chatbot that handled HR, IT, and policy questions with improved consistency.


415-500-000

San Francisco, CA 94103

Skills
AI ethics and bias awareness
Data labeling and annotation
API integration and automation
Natural language processing basics
Python for AI workflows
AI content evaluation and testing
Prompt chaining and context management
Few-shot and zero-shot prompting
Large language models (GPT-style models)
Prompt design and optimization

Certifications

Natural Language Processing Basics – Coursera
Generative AI Fundamentals – Google Cloud
Prompt Engineering for Generative AI – DeepLearning.AI
Languages
Spanish