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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuralForge Systems
Lubbock
Estimated Salary
USD 140.000 – USD 180.000
Live Update
23 September 2026
Deadline
23 Sep 2027

Job Description

Join NeuralForge Systems as a Senior Prompt Engineer and lead the next wave of AI innovation in Lubbock's thriving tech ecosystem. We're seeking a visionary expert to architect cutting-edge prompt solutions that transform how businesses leverage large language models. This high-impact role offers competitive compensation, flexible hybrid work, and the opportunity to shape AI adoption across healthcare, energy, and education sectors. What you'll achieve: Design and optimize prompts for enterprise-grade AI applications, collaborate with cross-functional teams to deliver measurable ROI, and pioneer prompt engineering frameworks that set industry standards. Why Lubbock? Benefit from Texas' no-income-tax policy, affordable living, and access to Texas Tech University's AI research partnerships. What we offer: Comprehensive benefits package including 401(k) matching, annual education stipend, and equity participation in our fast-growing AI solutions provider.

Responsibilities

  • Develop and optimize prompt architectures for enterprise-scale language models
  • Collaborate with data scientists to align prompts with model training objectives
  • Design A/B testing frameworks for prompt efficacy measurement
  • Create documentation and best practices for prompt engineering workflows
  • Lead workshops to train technical teams on advanced prompting techniques
  • Research emerging LLM capabilities to integrate cutting-edge prompt strategies
  • Contribute to product roadmaps by identifying prompt-based feature opportunities

Qualifications

  • 3+ years of experience in prompt engineering or NLP development
  • Proficiency with OpenAI API, Anthropic Claude, and major LLM frameworks
  • Strong background in Python and prompt orchestration tools
  • Proven track record of delivering AI solutions with measurable business impact
  • Expertise in fine-tuning models for domain-specific applications
  • Experience with MLOps pipelines for AI deployment
  • Strong analytical skills with data-driven problem-solving approach
  • Bachelor's degree in Computer Science, Engineering, or related field

Required Skills

Prompt Engineering Natural Language Processing Python OpenAI API LLM Fine-tuning MLOps Anthropic Claude AI Research

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