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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NeuraLogic Systems
Washington
Estimated Salary
USD 145.000 – USD 195.000
Live Update
22 September 2026
Deadline
22 Sep 2027

Job Description

Join our elite AI innovation team at NeuraLogic Systems in Washington, DC, as a Senior Prompt Engineer. We provide premium NVIDIA A100 workstations, specialized LLM training datasets, and cutting-edge development environments to empower your expertise. Shape the future of AI interaction by crafting sophisticated prompts that unlock unprecedented capabilities in large language models. This hybrid role offers competitive compensation, comprehensive benefits, and the opportunity to work on high-impact projects for federal and commercial clients.

Responsibilities

  • Design, optimize, and test prompts for enterprise-scale LLM applications
  • Collaborate with ML engineers to fine-tune model behavior through prompt engineering
  • Develop prompt libraries and documentation for reusable AI workflows
  • Conduct A/B testing to measure prompt performance and user engagement
  • Create prompt templates for multi-turn conversations and complex reasoning tasks
  • Train cross-functional teams on prompt engineering best practices
  • Stay current with LLM advancements and adapt strategies accordingly

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, or related field (Master's preferred)
  • 3+ years experience in prompt engineering or NLP development
  • Proficiency with GPT, Claude, and open-source LLM frameworks
  • Strong understanding of transformer architectures and attention mechanisms
  • Experience with prompt optimization techniques like chain-of-thought and few-shot learning
  • Ability to translate complex requirements into precise prompt instructions
  • Excellent analytical skills with data-driven problem-solving approach
  • Security clearance eligibility (required for federal projects)

Required Skills

prompt engineering large language models GPT fine-tuning NLP machine learning AI optimization prompt libraries chain-of-thought reasoning

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