[Hiring] Prompt Engineer, AI @Herbalife

Role Description

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

• 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.

Requirements

• 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.

Benefits

• Group Health Programs including 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 including 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 including 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.