Prompt Engineer, AI

AI Prompt Engineer

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

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