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Information Technology 🏢 Full Time ⭐️ Verified

Prompt Engineer

InnovateAI Solutions
Raleigh
Estimated Salary
USD 110.000 – USD 140.000
New
Live Update
30 Agustus 2026
Deadline
30 Agu 2027

Job Description

Join InnovateAI Solutions as a Prompt Engineer and shape the future of AI interactions! We're seeking a creative technologist to design, refine, and optimize AI prompts that power our cutting-edge conversational platforms. You'll collaborate with cross-functional teams to develop intuitive AI experiences that delight users and drive business growth. This is your chance to work in Raleigh's thriving tech hub and make a tangible impact on how humans interact with artificial intelligence.

Responsibilities

  • Design, test, and iterate AI prompts for NLP models to maximize accuracy and user engagement
  • Develop prompt engineering frameworks and best practices for enterprise AI applications
  • Analyze model outputs to identify optimization opportunities and refine prompt strategies
  • Collaborate with ML engineers and product teams to align prompt design with business objectives
  • Document prompt libraries and engineering processes for team scalability
  • Stay current with LLM advancements and integrate new techniques into prompt workflows
  • Conduct A/B testing on prompt variations to measure performance impact

Qualifications

  • 3+ years of experience in prompt engineering or AI/NLP development
  • Expertise in crafting precise prompts for LLMs (GPT-4, Claude, etc.)
  • Strong understanding of transformer architectures and attention mechanisms
  • Proficiency in Python and prompt engineering frameworks (LangChain, Hugging Face)
  • Experience with prompt optimization techniques (few-shot learning, chain-of-thought)
  • Excellent analytical skills for evaluating AI output quality and bias
  • Strong communication abilities to translate technical concepts to non-technical stakeholders
  • Portfolio demonstrating successful prompt engineering projects

Required Skills

Prompt Engineering Natural Language Processing Large Language Models Python Machine Learning AI Optimization LangChain Hugging Face

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