Job Description
Join NeuralCore Dynamics' cutting-edge AI division as a Senior Prompt Engineer and revolutionize human-machine interaction. We're seeking a visionary expert to design, optimize, and scale prompt engineering frameworks that power next-generation language models. You'll collaborate with world-class researchers to develop proprietary prompting techniques that enhance model accuracy, reduce hallucinations, and create seamless user experiences. This role offers unparalleled opportunities to shape the future of conversational AI while working in Mesa's thriving tech ecosystem.
Our ideal candidate thrives at the intersection of linguistics, cognitive science, and machine learning. You'll lead prompt architecture design for enterprise-grade LLMs, conduct rigorous A/B testing of prompt variations, and establish best practices for ethical AI deployment. NeuralCore provides competitive benefits, flexible work arrangements, and a culture that values innovation and continuous learning.
Responsibilities
- Design and implement advanced prompt engineering frameworks for production LLMs
- Conduct systematic prompt optimization through iterative testing and analysis
- Develop proprietary prompting techniques to reduce model bias and improve output quality
- Collaborate with ML engineers to integrate prompt strategies into AI pipelines
- Create documentation and training materials for prompt engineering best practices
- Analyze emerging AI trends to inform prompt innovation strategies
- Maintain ethical AI standards in prompt design and deployment
Qualifications
- 3+ years of experience in prompt engineering or NLP specialization
- Expertise with GPT-4, Claude, and other major LLM architectures
- Proficiency in Python and prompt automation frameworks (LangChain, Hugging Face)
- Strong background in linguistics, cognitive psychology, or computational linguistics
- Proven track record of optimizing prompts for enterprise-scale applications
- Experience with A/B testing and statistical analysis of model outputs
- Ability to translate complex technical concepts into actionable prompts