Job Description
Join Nexus AI Labs, a cutting-edge artificial intelligence innovator, as we revolutionize human-AI interaction. We're seeking a creative and technically skilled Part-Time Prompt Engineer to shape the future of conversational AI. This hybrid role blends linguistic artistry with technical precision, allowing you to craft prompts that unlock unprecedented AI capabilities while enjoying Las Vegas's vibrant lifestyle.
As a key member of our AI Solutions Team, you'll collaborate with researchers and developers to optimize large language models for enterprise applications. This flexible position offers competitive compensation, remote flexibility, and the opportunity to work with state-of-the-art AI technologies. Apply today to become part of our mission to make AI more intuitive and accessible.
Responsibilities
- Design, test, and refine AI prompts to optimize model performance for specific use cases
- Collaborate with cross-functional teams to develop prompt engineering frameworks and best practices
- Analyze AI outputs to identify improvement opportunities and iterate prompt designs
- Document prompt libraries and engineering methodologies for team knowledge sharing
- Stay current with emerging AI model capabilities and prompt engineering techniques
- Conduct A/B testing on prompt variations to maximize response quality
- Translate complex technical requirements into effective prompt architectures
Qualifications
- Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
- 2+ years of prompt engineering experience with large language models (GPT-4, Claude, Llama)
- Proficiency in Python and prompt optimization frameworks (LangChain, DSPy)
- Exceptional written communication skills with attention to linguistic nuance
- Experience with AI evaluation metrics and output quality assessment
- Familiarity with MLOps principles and AI deployment workflows
- Portfolio demonstrating successful prompt engineering projects
- Ability to work independently with minimal supervision in a part-time capacity