Job Description
Join our cutting-edge AI team as a Senior Prompt Engineer in Raleigh, NC! We're offering a $15,000 sign-on bonus for exceptional candidates who can revolutionize human-AI interaction. Shape the future of language models by designing sophisticated prompts that drive breakthroughs in generative AI applications. Work in a collaborative, innovative environment where your expertise directly impacts product development and user experiences.
As a key member of our AI Research division, you'll collaborate with cross-functional teams to develop prompt engineering frameworks, optimize model outputs, and establish best practices for responsible AI deployment. This is your chance to pioneer the next wave of AI innovation while enjoying Raleigh's thriving tech ecosystem and competitive compensation package.
Responsibilities
- Design, test, and optimize advanced prompts for large language models (LLMs) including GPT-4, Claude, and custom-trained models
- Develop systematic prompt engineering frameworks for diverse AI applications (customer support, content generation, data analysis)
- Conduct A/B testing and performance analysis to quantify prompt effectiveness and iterate improvements
- Create documentation and training materials for prompt engineering best practices across engineering teams
- Collaborate with ML engineers to fine-tune model behavior through prompt-based optimization
- Stay current with emerging AI research and integrate new techniques into prompt development workflows
- Ensure ethical AI alignment and bias mitigation in prompt design processes
Qualifications
- Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field (Master's preferred)
- 3+ years of experience in prompt engineering, NLP, or applied AI development
- Proven track record of shipping AI products with measurable impact through prompt optimization
- Expertise with LLM APIs (OpenAI, Anthropic, Hugging Face) and prompt engineering frameworks
- Strong Python programming skills with experience in data manipulation libraries (Pandas, NumPy)
- Exceptional communication skills with ability to translate complex AI concepts for diverse stakeholders
- Demonstrated ability to design experiments and analyze quantitative performance metrics
- Portfolio showcasing prompt engineering projects with measurable outcomes