Prompt Engineer, AI

Overview

We have two positions open. Improve the efficiency of large language models and generative AI systems by crafting, optimizing, and managing prompts that drive accurate, reliable, and valuable AI outputs. This role bridges human intent and AI capability, crafting prompts that unlock the full potential of AI models while ensuring outputs meet quality, safety, and business requirements. The AI Prompt Engineer combines technical understanding of AI systems with creative problem-solving to build robust prompt frameworks that enable AI-powered solutions.

We have two positions open. Improve the efficiency of large language models and generative AI systems by crafting, optimizing, and managing prompts that drive accurate, reliable, and valuable AI outputs. This role exists to bridge human intent and AI capability, crafting prompts that unlock the full potential of AI models while ensuring outputs meet quality, safety, and business requirements. The AI Prompt Engineer combines technical understanding of AI systems with creative problem-solving to build robust prompt frameworks that enable AI-powered solutions.

• Design and optimize prompts for large language models (LLMs) and generative AI systems to achieve specific business outcomes
• Develop timely engineering frameworks and guidelines for different AI use cases and applications
• Test and iterate on prompts systematically to improve accuracy, consistency, and output quality
• Build prompt templates and libraries that enable reusable, scalable AI solutions across the organization
• Implement prompt chaining and multi-step reasoning approaches for complex AI tasks
• Design and optimize retrieval-augmented generation (RAG) systems combining prompts with knowledge bases
• Evaluate AI model outputs against quality criteria and implement improvement strategies
• Conduct prompt injection testing and implement safeguards against adversarial inputs
• Collaborate with developers to integrate prompts into applications and workflows
• Monitor production prompt performance and implement versioning and A/B testing strategies
• Document prompt patterns, techniques, and findings for team knowledge sharing
• Stay current with LLM capabilities, limitations, and best practices across different models
• Provide guidance on prompt engineering to data scientists, developers, and business users
• Analyze failure modes and edge cases, developing strategies to improve robustness
• Implement ethical AI practices ensuring prompts produce fair, unbiased, and safe outputs

Skills and background required to be successful:

• 5+ years of experience in AI/ML, NLP, or software development with significant focus on working with LLMs and generative AI; demonstrated expertise in prompt engineering
• Prompt engineering and prompt design for LLMs (GPT, Claude, Llama, etc.)
• Understanding of transformer architectures and how LLMs process language
• Natural language processing and computational linguistics
• Systematic testing and experimentation methodologies
• AI safety and responsible AI practices
• Proven track record to craft prompts that consistently produce high-quality, reliable AI outputs
• Deep understanding of LLM capabilities, limitations, and behaviors
• Experience with various prompting techniques (few-shot learning, chain-of-thought, etc.)
• Strong analytical skills to evaluate and improve prompt performance
• Creative problem-solving to find innovative solutions using AI
• Programming in Python for prompt automation and testing
• Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Knowledge of RAG architectures and vector databases
• Understanding of fine-tuning and model customization
• Familiarity with LLM evaluation frameworks and metrics
• Experience with prompt management tools and platforms
• Knowledge of conversational AI and chatbot design
• Understanding of AI ethics, bias, and safety considerations

• Minimum:
  Bachelor's degree in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, or related field
• Preferred:
  Master's degree in AI, NLP, Computer Science, or related field; portfolio demonstrating successful prompt engineering projects
• Certifications:
  
  AI/ML certifications, LLM-specific certifications, emerging prompt engineering certifications valuable
• Equivalent
  
  Experience:
  
  5+ years of hands-on experience working with LLMs and generative AI with proven track record of successful prompt engineering solutions may substitute for advanced degree

At Herbalife, we value doing what’s right. We are proud to be an equal opportunity employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected characteristic. We value diversity, strive for inclusivity, and believe the differences among our teammates is a key contributor to Herbalife’s ongoing success.

Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of…