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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuroTech Innovations
San Jose, CA
Estimated Salary
USD 160.000 – USD 220.000
Live Update
26 Juli 2026
Deadline
26 Jul 2027

Job Description

Join NeuroTech Innovations as a Senior Prompt Engineer and revolutionize how humans interact with AI systems. We're seeking a creative technologist to design, optimize, and scale prompt architectures for our cutting-edge generative AI platforms. This role sits at the intersection of linguistics, computer science, and human-computer interaction, where your expertise will directly shape the future of conversational AI.

In this pivotal position, you'll collaborate with world-class ML researchers, product engineers, and UX designers to develop intuitive AI experiences. Your work will impact millions of users through applications in healthcare diagnostics, autonomous systems, and personalized education. We offer competitive compensation, equity, and a flexible hybrid work environment in the heart of Silicon Valley.

Responsibilities

  • Design, test, and iterate advanced prompt architectures for large language models
  • Develop quantitative frameworks for evaluating prompt efficacy and output quality
  • Create reusable prompt libraries with version control and documentation
  • Collaborate with cross-functional teams to integrate prompts into production AI systems
  • Research and implement novel techniques for few-shot learning and in-context learning
  • Establish best practices for ethical AI alignment and bias mitigation in prompts
  • Mentor junior engineers on prompt engineering methodologies

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
  • 3+ years of experience in prompt engineering or NLP system development
  • Proven portfolio of deployed prompt-based AI applications
  • Expertise in Python and ML frameworks (PyTorch/TensorFlow)
  • Deep understanding of transformer architectures and attention mechanisms
  • Strong analytical skills with ability to measure and optimize prompt performance
  • Experience with A/B testing frameworks for AI outputs
  • Published research in NLP or AI preferred

Required Skills

prompt engineering large language models NLP Python PyTorch TensorFlow transformer architecture in-context learning few-shot learning AI ethics A/B testing

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