Job Description
Join NeuraTech Dynamics as a Senior Prompt Engineer and revolutionize AI interaction! We're seeking a creative technologist to design cutting-edge prompt strategies for our enterprise AI solutions. Enjoy unparalleled flexibility with hybrid work options and customizable schedules to optimize your productivity. Work alongside world-class AI researchers in our state-of-the-art Jersey City headquarters while shaping the future of human-AI collaboration. This role offers competitive compensation, comprehensive benefits, and opportunities to publish industry-leading research.
As a pioneer in generative AI applications, NeuraTech provides the perfect environment to develop your expertise in prompt engineering while making tangible impact across finance, healthcare, and tech sectors. Our culture values innovation, autonomy, and continuous learning – apply today to become part of the AI revolution!
Responsibilities
- Design, test, and optimize advanced prompt strategies for large language models (GPT-4, Claude, Llama)
- Collaborate with product teams to translate business requirements into effective prompt frameworks
- Develop and maintain prompt libraries with version-controlled documentation
- Conduct A/B testing on prompt variations to maximize output quality and relevance
- Create automated prompt evaluation systems using quantitative metrics
- Research emerging AI capabilities and integrate cutting-edge techniques
- Mentor junior engineers on prompt engineering best practices
Qualifications
- Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field (Master's preferred)
- 3+ years of experience in prompt engineering or NLP model development
- Expertise in designing prompts for complex multi-turn conversations
- Proficiency in Python and experience with AI frameworks (Hugging Face, LangChain)
- Strong analytical skills with ability to troubleshoot model hallucinations
- Portfolio demonstrating successful prompt optimization projects
- Excellent written communication with attention to nuance and context