Job Description
Join NeuraWave AI's pioneering Prompt Engineering team and redefine the future of human-AI interaction. We're seeking a creative technical visionary to architect next-generation conversational AI systems that power our revolutionary healthcare platform. As a Prompt Engineer, you'll bridge the gap between complex medical data and intuitive user experiences, directly impacting patient outcomes and clinical workflows. Our San Francisco hub offers an unparalleled environment for innovation, with state-of-the-art labs and collaborative spaces where your expertise in language model optimization will flourish. We provide comprehensive benefits including health insurance, 401(k) matching, and professional development stipends. This is your opportunity to shape AI's role in critical industries while working alongside world-class researchers and engineers.
Responsibilities
- Design, develop, and optimize prompt architectures for large language models in healthcare applications
- Conduct rigorous A/B testing and performance analysis of prompt variations
- Collaborate with clinical domain experts to translate medical requirements into prompt engineering solutions
- Create documentation and best practices for prompt engineering methodologies
- Stay current with cutting-edge LLM advancements and integrate new techniques
- Mentor junior engineers on prompt optimization strategies
- Contribute to the development of our proprietary AI training datasets
Qualifications
- Bachelor's degree in Computer Science, Linguistics, or related field (Master's preferred)
- 3+ years of experience in prompt engineering or NLP model optimization
- Proven track record of deploying production-ready LLM solutions
- Expertise in Python and prompt frameworks like LangChain or Hugging Face
- Deep understanding of transformer architectures and attention mechanisms
- Experience with healthcare or regulated industry AI implementations
- Strong analytical skills with ability to interpret complex model outputs
- Excellent communication abilities for cross-functional collaboration