Job Description
Shape the Future of Artificial Intelligence in Seattle
We are seeking a highly skilled Prompt Engineer to join Apex AI Systems in Seattle. As a leader in Generative AI, we are building the next generation of intelligent applications. We are proud to offer a competitive compensation package with weekly pay options, allowing you to enjoy financial flexibility while driving innovation.
Why You’ll Love Working Here
- Work with cutting-edge Large Language Models (LLMs) like GPT-4 and Claude.
- Competitive salary with the option for weekly pay.
- Flexible work arrangements (Remote & Hybrid) in the vibrant Seattle tech scene.
- Access to top-tier mentorship and continuous learning opportunities.
At Apex AI, your words will literally shape the intelligence of our systems. We need a creative problem solver who understands the nuance of human language and machine logic.
Responsibilities
- Design, test, and refine prompt templates to optimize the performance and safety of Large Language Models (LLMs).
- Analyze model outputs to identify reasoning gaps or hallucinations, then iteratively improve prompt structures to enhance accuracy.
- Collaborate closely with data scientists and ML engineers to align prompt engineering strategies with broader AI product goals.
- Develop and maintain comprehensive documentation and prompt libraries to ensure consistency across the organization.
- Conduct A/B testing on various prompt variations to maximize user engagement and conversion metrics.
- Stay updated on the latest advancements in Natural Language Processing (NLP) and integrate new methodologies into our workflow.
Qualifications
- Bachelor’s degree in Computer Science, Linguistics, English, or a related technical field (Master’s preferred).
- Proven experience working with LLMs, RAG (Retrieval-Augmented Generation), and Generative AI tools.
- Exceptional writing and editing skills with a deep understanding of grammar, tone, and linguistic nuance.
- Strong analytical mindset with the ability to debug complex prompt chains and interpret model behavior.
- Experience with Python, JSON, or API integrations is a strong plus.
- Ability to translate abstract business requirements into clear, actionable, and robust prompt engineering instructions.