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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

Nexus AI Solutions
Phoenix
Estimated Salary
USD 110.000 – USD 150.000
Live Update
19 Agustus 2026
Deadline
19 Agu 2027

Job Description

Join Nexus AI Solutions at the forefront of artificial intelligence innovation! We're urgently seeking a visionary Senior Prompt Engineer to architect cutting-edge AI interactions in our Phoenix headquarters. You'll collaborate with elite data scientists and product teams to transform complex business challenges into elegant AI-powered solutions. This is your opportunity to shape how humans interact with machine intelligence in a rapidly evolving landscape. Our dynamic startup culture offers equity, flexible work arrangements, and the chance to work on projects that impact millions.

Responsibilities

  • Design, test, and optimize advanced prompt architectures for LLM applications
  • Develop evaluation frameworks to measure prompt efficacy and model performance
  • Collaborate with cross-functional teams to integrate AI solutions into production systems
  • Document prompt engineering best practices and create reusable prompt libraries
  • Conduct A/B testing and iterate on prompt strategies based on performance metrics
  • Stay current with emerging AI research and implement cutting-edge techniques
  • Mentor junior engineers on prompt optimization strategies

Qualifications

  • 3+ years of experience in prompt engineering or NLP development
  • Expertise with GPT-4, Claude, and other leading LLM platforms
  • Strong programming skills in Python and familiarity with ML frameworks
  • Proven track record of shipping production AI applications
  • Exceptional problem-solving abilities with complex technical challenges
  • Excellent written communication and collaborative skills
  • Portfolio demonstrating successful prompt engineering projects
  • Bachelor's degree in Computer Science, Engineering, or related field

Required Skills

Prompt Engineering NLP Python GPT-4 Claude Machine Learning AI Development LLM Optimization

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