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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuraTech Dynamics
Fort Worth
Estimated Salary
USD 110.000 – USD 160.000
Live Update
13 Agustus 2026
Deadline
13 Agu 2027

Job Description

Join NeuraTech Dynamics as a Senior Prompt Engineer and revolutionize how humans interact with AI systems! We're urgently seeking a creative tech visionary to design, refine, and optimize AI prompts that power our next-generation conversational platforms. This high-impact role combines linguistic expertise with cutting-edge AI knowledge to shape the future of human-machine interaction.

Why NeuraTech? We're a Fort Worth-based AI pioneer offering competitive compensation, flexible work arrangements, and the chance to work with Fortune 500 clients. Our collaborative culture values innovation and professional growth.

Responsibilities

  • Design, test, and optimize AI prompts for large language models (LLMs) to maximize accuracy and user engagement
  • Develop prompt engineering frameworks and best practices for enterprise AI applications
  • Collaborate with product teams to integrate AI solutions into customer-facing platforms
  • Analyze prompt performance metrics and iterate based on user feedback
  • Create documentation for prompt libraries and engineering methodologies
  • Stay current with emerging AI tools and techniques through continuous learning

Qualifications

  • 3+ years of experience in prompt engineering or AI language model development
  • Expertise in NLP concepts and LLM architectures (GPT, Claude, etc.)
  • Strong analytical skills with ability to interpret complex AI outputs
  • Excellent written communication and creative problem-solving abilities
  • Proficiency in Python and AI frameworks (Hugging Face, LangChain)
  • Bachelor's degree in Computer Science, Linguistics, or related field
  • Portfolio demonstrating prompt engineering projects or AI applications

Required Skills

Prompt Engineering Natural Language Processing Machine Learning AI Large Language Models Python Hugging Face LangChain Data Analysis

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