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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

AI Innovations Group
Richmond, VA
Estimated Salary
USD 110.000 – USD 160.000
New
Live Update
9 Oktober 2026
Deadline
9 Okt 2027

Job Description

Join AI Innovations Group as a Senior Prompt Engineer and lead the next wave of AI interaction design. We're seeking a creative technologist to architect advanced prompt systems that transform raw language into powerful AI-driven solutions. This hybrid role combines deep technical expertise with user-centric innovation to optimize large language model performance for enterprise clients.

Our Richmond-based team operates at the intersection of cognitive science and machine learning, developing proprietary frameworks for natural language processing. You'll collaborate with AI researchers, product managers, and UX designers to create intuitive interfaces that push the boundaries of human-AI collaboration. This is a rare opportunity to shape how businesses interact with generative AI at scale.

Responsibilities

  • Design, test, and optimize prompt architectures for enterprise-grade AI applications
  • Develop systematic frameworks for evaluating and refining model outputs
  • Create reusable prompt libraries and documentation for engineering teams
  • Conduct A/B testing of prompt variations to maximize response quality
  • Collaborate with cross-functional teams to integrate prompt engineering solutions
  • Research emerging LLM capabilities and translate findings into actionable strategies
  • Establish ethical guidelines for AI interaction design and content generation

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
  • 3+ years of experience with prompt engineering or NLP system design
  • Proficiency with Python, REST APIs, and cloud platforms (AWS/GCP/Azure)
  • Deep understanding of transformer architecture and attention mechanisms
  • Portfolio demonstrating successful prompt optimization projects
  • Experience with iterative testing methodologies for AI systems
  • Strong analytical skills for evaluating model performance metrics
  • Excellent written communication and technical documentation abilities

Required Skills

prompt engineering natural language processing machine learning Python AI ethics transformer models cloud computing A/B testing

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