What are the responsibilities and job description for the Prompt Engineer, AI position at Herbalife International?
Overview
THE ROLE:
Unlock the full potential of large language models and generative AI by designing, refining, and scaling prompt strategies that produce accurate, reliable, and high-value AI outputs.
In this role, you'll sit at the intersection of human intent and machine intelligence, translating complex business needs into well-structured prompt frameworks that guide AI systems toward consistent, safe, and meaningful results. You'll continuously experiment, optimize, and evolve prompts to improve model performance across real-world use cases.
As an AI Prompt Engineer, you'll blend technical understanding of AI behavior with creative problem-solving to build reusable, production-ready prompt patterns that power AI-driven solutions at scale - ensuring outputs meet quality, safety, and business standards.
HOW YOU WOULD CONTRIBUTE:
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
Make decisions on prompt strategies, model selection, and optimization approaches for AI applications
Qualifications
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 ability 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
Education
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
#LI-AR1
#LI-REMOTE
US Benefits Statement
Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.
THE ROLE:
Unlock the full potential of large language models and generative AI by designing, refining, and scaling prompt strategies that produce accurate, reliable, and high-value AI outputs.
In this role, you'll sit at the intersection of human intent and machine intelligence, translating complex business needs into well-structured prompt frameworks that guide AI systems toward consistent, safe, and meaningful results. You'll continuously experiment, optimize, and evolve prompts to improve model performance across real-world use cases.
As an AI Prompt Engineer, you'll blend technical understanding of AI behavior with creative problem-solving to build reusable, production-ready prompt patterns that power AI-driven solutions at scale - ensuring outputs meet quality, safety, and business standards.
HOW YOU WOULD CONTRIBUTE:
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
Make decisions on prompt strategies, model selection, and optimization approaches for AI applications
Qualifications
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 ability 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
Education
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
#LI-AR1
#LI-REMOTE
US Benefits Statement
Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.