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
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees