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Information Technology 🏢 Full Time ⭐️ Verified

Urgently Hiring: Prompt Engineer - Fort Worth, TX

NeuraTech Innovations
Fort Worth
Estimated Salary
USD 110.000 – USD 160.000
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

Join NeuraTech Innovations as a Prompt Engineer and revolutionize how humans interact with AI! We're seeking a visionary expert to design cutting-edge prompts that unlock the full potential of our generative AI systems. This urgent role offers competitive compensation and the chance to shape the future of conversational AI in a dynamic, collaborative environment.

As a Prompt Engineer, you'll bridge the gap between complex AI capabilities and real-world applications, crafting solutions that drive business innovation and user engagement. If you're passionate about AI ethics and have a knack for precision language, we want you on our team!

Responsibilities

  • Design, test, and optimize prompts for large language models to achieve specific business objectives
  • Collaborate with AI researchers to develop prompt engineering frameworks and best practices
  • Iterate on prompt designs based on performance metrics and user feedback
  • Document prompt strategies and maintain a knowledge repository of successful patterns
  • Partner with product teams to integrate prompt engineering solutions into end-user applications
  • Conduct A/B testing to evaluate prompt effectiveness and refine approaches

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, or related field (Master's preferred)
  • 3+ years of experience in prompt engineering, NLP, or applied AI development
  • Expertise with GPT, Claude, or similar LLM architectures
  • Strong analytical skills with experience in prompt optimization techniques
  • Proficiency in Python and experience with AI frameworks like Hugging Face
  • Demonstrated ability to translate technical concepts into business solutions

Required Skills

Prompt Engineering Natural Language Processing GPT Claude AI Ethics Python Hugging Face LLM Optimization

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