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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

Neural Dynamics Inc.
Bakersfield, CA
Estimated Salary
USD 110.000 – USD 150.000
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

Join Neural Dynamics Inc., an AI innovation leader transforming industries through cutting-edge language models. We're seeking a Senior Prompt Engineer to architect next-generation AI interactions at our Bakersfield R&D hub. Shape the future of human-AI collaboration by designing systems that redefine productivity across healthcare, logistics, and ag-tech sectors. Enjoy competitive benefits, flexible remote options, and a collaborative culture where your expertise directly impacts product evolution.

Responsibilities

  • Design, test, and optimize prompt architectures for LLM applications in enterprise environments
  • Develop frameworks for evaluating AI response quality and alignment with business objectives
  • Create documentation standards for prompt engineering best practices across departments
  • Collaborate with ML engineers to fine-tune model behaviors through strategic prompt design
  • Lead workshops training stakeholders on effective AI interaction techniques
  • Analyze user interaction patterns to iterate on prompt performance metrics
  • Contribute to proprietary AI tool development for prompt optimization

Qualifications

  • 3+ years in prompt engineering, NLP, or related AI field
  • Portfolio demonstrating 10+ enterprise-level prompt systems deployed at scale
  • Expertise in GPT-4, Claude, and open-source LLM architectures
  • Proficiency in Python, LangChain, and prompt engineering frameworks
  • Experience with A/B testing methodologies for prompt optimization
  • Strong analytical skills for interpreting AI response quality metrics
  • Certification in AI/ML or equivalent practical experience
  • Ability to translate complex technical concepts for non-technical stakeholders

Required Skills

Prompt Engineering Large Language Models GPT-4 Natural Language Processing Python LangChain A/B Testing NLP Frameworks

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