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Information Technology 🏢 Full Time ⭐️ Verified

Immediate Hire: Prompt Engineer

Nexus AI Solutions
New York, NY
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Oktober 2026
Deadline
15 Okt 2027

Job Description

Join our cutting-edge AI team as an Immediate Hire Prompt Engineer and revolutionize how humans interact with artificial intelligence. We're seeking a visionary specialist to design, optimize, and deploy advanced prompt engineering strategies that drive breakthrough performance in our generative AI systems. This urgent opening requires immediate availability and offers exceptional growth opportunities in New York's thriving tech ecosystem.

Responsibilities

  • Design, test, and refine prompt architectures for large language models (LLMs) including GPT-4, Claude, and proprietary systems
  • Develop and implement prompt optimization frameworks to maximize model accuracy, creativity, and alignment with business objectives
  • Collaborate with cross-functional teams to integrate prompt engineering solutions into production AI applications
  • Conduct A/B testing and performance analysis of prompt variations using quantitative metrics
  • Create documentation and best practices for prompt engineering methodologies across the organization
  • Stay current with emerging AI techniques and contribute to innovation roadmap planning

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Linguistics, or related field (Master's preferred)
  • 3+ years of hands-on experience with prompt engineering for LLMs or NLP systems
  • Expertise in Python and experience with ML frameworks (PyTorch, TensorFlow)
  • Proven track record of deploying prompt-based solutions in production environments
  • Strong understanding of transformer architectures and attention mechanisms
  • Exceptional written communication and problem-solving abilities
  • Immediate availability to start within 7-10 days

Required Skills

Prompt Engineering Large Language Models GPT-4 Natural Language Processing Python Machine Learning AI Optimization Prompt Tuning NLP Frameworks

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