Prompt Engineer, AI | Joblume
AI Startup
San Francisco, CARemote OKFull-time$140k – $220k / year
About this role
Prompt Engineer, AI | Joblume
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Prompt Engineer, AI
Remote, USA
Posted Jul 31, 2026
Full-time
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 k