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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

Nexus AI Labs
Portland
Estimated Salary
USD 130.000 – USD 180.000
Live Update
31 Juli 2026
Deadline
31 Jul 2027

Job Description

Join Nexus AI Labs as a Senior Prompt Engineer and pioneer the future of human-AI interaction. We're seeking a visionary expert to design, refine, and optimize AI prompts that drive breakthrough results across our product suite. This role blends linguistic precision with technical innovation in Portland's vibrant tech ecosystem.

You'll collaborate with cross-functional teams to transform complex requirements into elegant prompt architectures, conduct rigorous experimentation cycles, and establish industry-leading prompt engineering standards. Our engineers enjoy hybrid work arrangements, competitive equity packages, and access to cutting-edge AI infrastructure.

Responsibilities

  • Design, test, and iterate advanced prompt architectures for GPT-4, Claude, and proprietary LLMs
  • Develop systematic prompt optimization frameworks using A/B testing and performance metrics
  • Create documentation and training materials for prompt engineering best practices
  • Collaborate with ML engineers to integrate prompts into production AI pipelines
  • Conduct red-teaming exercises to identify prompt vulnerabilities and edge cases
  • Lead research initiatives on emerging prompt engineering techniques and tools

Qualifications

  • 3+ years of experience in prompt engineering or NLP-focused AI development
  • Proven track record of shipping production-ready AI prompt systems
  • Expertise with LLM APIs (OpenAI, Anthropic, Hugging Face)
  • Strong Python programming and data analysis skills
  • Published research or significant contributions to prompt engineering communities
  • Experience with MLOps tools and CI/CD for AI systems
  • Demonstrated ability to communicate complex AI concepts to technical and non-technical stakeholders

Required Skills

Prompt Engineering Natural Language Processing Machine Learning GPT-4 Claude Python MLOps A/B Testing AI Ethics Large Language Models

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