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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuroTech AI
Dallas
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join NeuroTech AI's cutting-edge team as we revolutionize human-AI interaction through advanced prompt engineering. This urgent opening requires a visionary Prompt Engineer to architect next-generation conversational AI systems for Fortune 500 clients. You'll spearhead the development of sophisticated prompt frameworks that power our generative AI platform, working in a state-of-the-art Dallas facility with competitive benefits and rapid career progression.

We offer relocation assistance, equity packages, and flexible work arrangements for exceptional candidates who can demonstrate immediate impact in transforming raw AI capabilities into user-centric solutions.

Responsibilities

  • Design, test, and optimize prompt architectures for large language models (LLMs) including GPT-4 and Claude
  • Develop enterprise-grade prompt libraries with version control and A/B testing frameworks
  • Collaborate with ML engineers to fine-tune model behavior through iterative prompt refinement
  • Create documentation and best practices for prompt engineering methodologies
  • Lead workshops to train cross-functional teams on prompt optimization techniques
  • Monitor and mitigate hallucinations, biases, and ethical risks in AI-generated content
  • Contribute to R&D for next-gen prompt chaining and multi-agent systems

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
  • 3+ years of hands-on prompt engineering experience with production LLMs
  • Proficiency in Python and experience with AI frameworks (LangChain, Hugging Face)
  • Deep understanding of transformer architectures and attention mechanisms
  • Portfolio demonstrating successful prompt optimization projects with measurable outcomes
  • Expertise in designing context-aware, multi-turn conversation flows
  • Familiarity with MLOps practices for prompt lifecycle management
  • Strong analytical skills with ability to diagnose and troubleshoot model limitations

Required Skills

Prompt Engineering Large Language Models GPT Natural Language Processing Machine Learning Python LangChain AI Ethics

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