Job Description
Join NeuroTech AI's elite Prompt Engineering team and revolutionize how humans interact with artificial intelligence. We're seeking a visionary Senior Prompt Engineer to architect next-gen AI experiences for Fortune 500 clients in Orlando's thriving tech hub. This urgent opening lets you start immediately and make an immediate impact on cutting-edge projects including conversational AI, generative design tools, and autonomous systems.
As a Prompt Engineering pioneer, you'll transform abstract concepts into tangible AI capabilities while mentoring junior engineers and collaborating with cross-functional teams. Our Orlando lab offers state-of-the-art resources including dedicated GPU clusters and proprietary LLM frameworks. Enjoy hybrid work flexibility with 3 days/week in our downtown Innovation Center, comprehensive benefits, and accelerated career growth paths.
Responsibilities
- Design, test, and optimize advanced prompt architectures for enterprise-scale LLM applications
- Develop proprietary prompt libraries and frameworks for specialized industry verticals
- Conduct rigorous A/B testing and performance analysis of prompt variations
- Create documentation and training materials for prompt engineering best practices
- Collaborate with ML engineers to fine-tune model behaviors through prompt engineering
- Lead prompt optimization workshops for cross-functional product teams
- Research emerging AI paradigms and integrate cutting-edge techniques into prompt strategies
- Mentor junior engineers on prompt engineering methodologies and ethical AI implementation
Qualifications
- 3+ years of hands-on prompt engineering experience with production LLMs (GPT-4, Claude, Llama)
- Portfolio demonstrating 15+ complex prompt engineering projects with measurable outcomes
- Expertise in Python and API integration for AI workflow automation
- Proven ability to translate business requirements into technical prompt specifications
- Deep understanding of transformer architectures and attention mechanisms
- Certification in AI/ML from recognized institutions (AWS ML, Google AI, or equivalent)
- Experience with MLOps tools for prompt versioning and deployment (MLflow, Kubeflow)
- Strong analytical skills with ability to troubleshoot hallucinations and bias in AI outputs