About the Role

We are seeking a highly creative and analytical AI Prompt Engineer to help design, optimize, and scale interactions with large language models and AI systems. This role sits at the intersection of technology, operations, creativity, and problem solving.

The ideal candidate understands how to communicate effectively with AI systems, build repeatable prompt workflows, improve AI output quality, and collaborate across departments to develop practical AI-driven solutions.

Please note that this position is 100% in-office located in Reno, NV.

Responsibilities

Design, test, and refine prompts for AI models including text, image, and workflow generation systems
Build structured prompt libraries and reusable AI workflows
Optimize prompts for accuracy, consistency, tone, and business outcomes
Collaborate with operations, product, marketing, and engineering teams to implement AI solutions
Analyze AI outputs and continuously improve performance through experimentation and iteration
Develop AI-assisted automations and internal productivity tools
Document prompt strategies, testing methodologies, and best practices
Stay current on emerging AI technologies, models, and prompt engineering techniques
Assist in training staff on effective AI usage and workflow integration
Help evaluate new AI vendors, tools, and APIs

Qualifications

Experience working with generative AI platforms such as OpenAI, Anthropic, Google, or similar tools
Strong written communication and critical thinking skills
Ability to structure instructions clearly and logically
Experience with workflow automation tools is a plus
Basic understanding of APIs, scripting, or data analysis preferred
Comfortable experimenting and iterating quickly in a fast-moving environment
Strong organizational and documentation skills
Creative problem-solving mindset with attention to detail

Preferred Skills

Familiarity with Python, SQL, or automation platforms
Experience with AI agents, RAG systems, or workflow orchestration
Understanding of prompt chaining and evaluation frameworks
Experience creating AI-generated content, support systems, or operational automations
Knowledge of business operations, customer support, or SaaS environments is a plus

What Success Looks Like

AI workflows produce reliable and measurable business value
Prompt systems reduce manual work and improve efficiency
Teams successfully adopt AI tools and processes
AI outputs maintain high levels of quality, consistency, and usability

Benefits:

Dental insurance
Health insurance
Paid time off
Vision insurance

Work Location: In person

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