Job Description
Join InnovateAI Solutions as a Part-Time Prompt Engineer and shape the future of artificial intelligence! We're seeking a creative expert to design, refine, and optimize AI prompts for cutting-edge applications. This flexible role offers the opportunity to work with Fortune 500 clients while advancing your career in AI innovation. Enjoy competitive pay, remote-friendly options, and a collaborative environment that values your expertise.
Our ideal candidate thrives at the intersection of technology and creativity, developing solutions that push AI capabilities forward. If you're passionate about human-AI interaction and want to make an impact in Kansas City's growing tech scene, we encourage you to apply today.
Responsibilities
- Design, test, and refine AI prompts to maximize model performance and accuracy
- Collaborate with cross-functional teams to integrate prompt engineering into product development workflows
- Document prompt architectures and create reusable prompt libraries for enterprise clients
- Analyze output quality and implement iterative improvements based on performance metrics
- Research emerging AI techniques and incorporate best practices into prompt strategies
- Train stakeholders on prompt engineering principles and ethical AI usage
- Support AI deployment by troubleshooting prompt-related issues and optimizing for specific use cases
Qualifications
- 3+ years of experience in prompt engineering, NLP, or related AI field
- Proven track record of developing production-ready AI prompts for commercial applications
- Expertise in LLM platforms (OpenAI, Anthropic, Hugging Face) and prompt optimization techniques
- Strong analytical skills with ability to evaluate and improve AI-generated outputs
- Excellent written communication and ability to translate complex technical concepts
- Portfolio demonstrating prompt engineering projects with measurable outcomes
- Preferred: Bachelor's degree in Computer Science, Linguistics, or related field
- Preferred: Experience with prompt engineering frameworks (LangChain, DSPy)