Job Description
Join NeuroTech AI's elite AI Innovation Lab as a Senior Prompt Engineer and redefine the future of human-AI interaction. We're seeking a visionary specialist to architect cutting-edge prompt frameworks for our enterprise-scale generative AI systems. This high-impact role offers unparalleled growth opportunities in the heart of Saint Paul's thriving tech ecosystem. Enjoy comprehensive benefits, flexible work arrangements, and the chance to shape AI that impacts millions.
Our ideal candidate thrives at the intersection of linguistics, machine learning, and creative problem-solving. You'll collaborate with world-class researchers to develop, test, and optimize prompt architectures that push the boundaries of what's possible with large language models. This is your chance to pioneer the next wave of AI interaction paradigms.
Responsibilities
- Design, develop, and optimize advanced prompt architectures for enterprise-grade generative AI systems
- Conduct rigorous A/B testing and performance analysis of prompt variations
- Collaborate with ML engineers to integrate prompt engineering solutions into production pipelines
- Create comprehensive documentation and best practices for prompt development
- Lead workshops to cross-train AI developers on advanced prompt techniques
- Develop evaluation frameworks to measure prompt effectiveness across use cases
- Stay current with emerging AI research and implement cutting-edge methodologies
Qualifications
- 3+ years of professional prompt engineering experience with production LLMs
- Proven track record of optimizing prompts for complex business applications
- Expertise in Python and experience with AI frameworks (LangChain, Hugging Face)
- Deep understanding of transformer architectures and attention mechanisms
- Exceptional written communication skills with technical precision
- Portfolio demonstrating prompt engineering projects with measurable outcomes
- Experience working in Agile development environments
- MS/PhD in Computer Science, Linguistics, or related field preferred