Job Description
Join NeuroTech AI's pioneering team as a Senior Prompt Engineer and revolutionize human-AI interaction. We're seeking a visionary expert to architect next-generation conversational AI systems that redefine digital experiences. In this high-impact role, you'll design, test, and optimize advanced prompting strategies for our flagship LLM platform, directly shaping how millions of users interact with artificial intelligence.
Our San Jose headquarters offers an unparalleled environment for innovation, with state-of-the-art AI labs, collaborative workspaces, and direct access to Silicon Valley's brightest minds. You'll work alongside world-class machine learning researchers to push the boundaries of what's possible in natural language processing and generative AI.
Responsibilities
- Design and implement sophisticated prompt architectures for enterprise-grade LLM applications
- Develop iterative prompt optimization frameworks using A/B testing and quantitative analysis
- Create comprehensive prompt documentation and best practice guidelines for engineering teams
- Collaborate with product managers to translate business requirements into AI interaction patterns
- Research and integrate cutting-edge NLP techniques to enhance prompt effectiveness
- Mentor junior engineers on prompt engineering methodologies and ethical AI practices
- Lead cross-functional workshops to align technical strategies with product roadmaps
Qualifications
- 5+ years of experience in AI/NLP or machine learning engineering with proven prompt engineering portfolio
- Expertise in designing prompts for GPT-4, Claude, or equivalent large language models
- Strong programming skills in Python with experience in ML frameworks (PyTorch/TensorFlow)
- Published research or significant contributions to prompt engineering methodologies
- Demonstrated ability to translate complex technical concepts into intuitive user interactions
- Experience with MLOps tools and prompt versioning systems (e.g., LangChain, Hugging Face)
- PhD or equivalent in Computational Linguistics, Machine Learning, or related field preferred