Job Description
Are you fluent in the language of machines? Do you possess a unique blend of creative writing prowess and technical logic? St. Louis Digital Innovations is seeking a visionary Prompt Engineer to lead our Generative AI initiatives.
We are not just building software; we are architecting the future of human-computer interaction. In this role, you will bridge the gap between human intent and artificial intelligence, crafting the precise linguistic instructions that unlock the full potential of Large Language Models (LLMs).
Join us in the heart of the Midwest, enjoying the flexibility of a remote-friendly work environment while contributing to groundbreaking projects.
Responsibilities
- Architect Complex Prompts: Design, test, and refine intricate prompts to optimize the output quality, accuracy, and creativity of AI models like GPT-4 and Claude.
- Model Fine-Tuning: Collaborate with data scientists to prepare datasets and provide feedback loops that improve model performance over time.
- Documentation & Strategy: Create comprehensive prompt libraries and documentation to standardize AI interactions across the organization.
- Creative Direction: Push the boundaries of what's possible with AI by experimenting with new architectures and prompt engineering techniques.
- Stakeholder Collaboration: Work closely with product managers and developers to integrate AI capabilities seamlessly into user-facing applications.
Qualifications
- Experience: 3+ years of experience in technical writing, copywriting, or a related field, with a strong focus on AI and machine learning.
- Technical Proficiency: Solid understanding of Natural Language Processing (NLP) concepts and how LLMs function.
- Programming Skills: Familiarity with Python, JavaScript, or API integration (OpenAI API, Anthropic API) is highly preferred.
- Creativity: An exceptional ability to think critically and creatively to troubleshoot and solve complex problems.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical audiences.