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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuroTech AI
Raleigh, NC
Estimated Salary
USD 120.000 – USD 160.000
Live Update
9 Oktober 2026
Deadline
9 Okt 2027

Job Description

Join NeuroTech AI's elite Prompt Engineering team in Raleigh, NC and revolutionize how humans interact with artificial intelligence. As a Senior Prompt Engineer, you'll architect next-generation conversational AI systems that power our flagship enterprise solutions. We're seeking a creative technologist to bridge the gap between human intent and machine comprehension, designing prompts that maximize LLM performance while ensuring ethical AI deployment. Our collaborative environment offers cutting-edge resources and career growth in one of America's fastest-growing tech hubs.

Responsibilities

  • Design, test, and optimize advanced prompts for enterprise-grade LLM applications
  • Develop prompt engineering frameworks to improve model accuracy and reduce hallucinations
  • Collaborate with AI researchers to align prompts with model capabilities and business objectives
  • Document prompt libraries and create best practice guidelines for engineering teams
  • Conduct A/B testing to evaluate prompt effectiveness and iterate on solutions
  • Train cross-functional teams on prompt engineering methodologies
  • Monitor system performance and implement prompt-based safeguards against misuse

Qualifications

  • 3+ years of experience in prompt engineering or NLP-related AI development
  • Expertise with GPT-4, Claude, or enterprise LLMs (e.g., Cohere, Anthropic)
  • Strong Python programming skills with experience in ML frameworks (PyTorch/TensorFlow)
  • Proven ability to translate complex business requirements into technical prompt solutions
  • Published research or portfolio demonstrating prompt optimization techniques
  • Familiarity with MLOps tools and prompt versioning systems (e.g., LangChain, Promptbase)
  • Bachelor's degree in Computer Science, Linguistics, or related field

Required Skills

Prompt Engineering Natural Language Processing Large Language Models Python Machine Learning AI Ethics A/B Testing Technical Writing MLOps

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