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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

NexusAI Labs
Detroit
Estimated Salary
USD 110.000 – USD 140.000
Live Update
25 Juli 2026
Deadline
25 Jul 2027

Job Description

Join NexusAI Labs as a Senior Prompt Engineer and revolutionize AI interaction! We provide all cutting-edge equipment including high-performance workstations, specialized GPUs, and proprietary AI toolkits. Shape the future of conversational AI while working in our state-of-the-art Detroit facility. This hybrid role offers competitive compensation and the opportunity to pioneer next-generation prompt engineering solutions.

Responsibilities

  • Design, test, and optimize advanced prompt architectures for large language models
  • Develop proprietary prompt libraries and reusable frameworks for enterprise AI applications
  • Collaborate with ML engineers to fine-tune model behavior through strategic prompting
  • Document and share prompt engineering best practices across cross-functional teams
  • Conduct A/B testing on prompt variations to maximize output quality and efficiency
  • Lead prompt security audits to prevent adversarial attacks and data leakage
  • Stay current with emerging AI tools and integrate them into our prompt engineering ecosystem

Qualifications

  • 3+ years of experience in prompt engineering or NLP-focused AI development
  • Expertise in Python and prompt frameworks like LangChain, Hugging Face, or OpenAI API
  • Proven track record of optimizing LLM outputs for complex business use cases
  • Strong understanding of transformer architectures and attention mechanisms
  • Experience with version control systems (Git) and prompt management platforms
  • Ability to translate technical requirements into effective prompt strategies
  • Portfolio demonstrating successful prompt engineering projects
  • BS/MS in Computer Science, AI, or related field

Required Skills

Prompt Engineering Natural Language Processing Python Machine Learning Large Language Models LangChain Hugging Face AI Ethics Git TensorFlow PyTorch

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