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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer - $25,000 Sign-on Bonus

Nexus AI Labs
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
19 Agustus 2026
Deadline
19 Agu 2027

Job Description

Join Nexus AI Labs, a cutting-edge AI research firm revolutionizing human-machine interaction. We're seeking a visionary Senior Prompt Engineer to architect next-generation conversational AI systems. This role offers a $25,000 sign-on bonus and the opportunity to shape how humanity interacts with artificial intelligence. You'll collaborate with world-class researchers to optimize large language models for enterprise applications while pushing the boundaries of prompt engineering innovation.

Responsibilities

  • Design, test, and refine advanced prompt architectures for GPT-4, Claude, and proprietary models
  • Develop prompt engineering frameworks that improve model accuracy, coherence, and safety
  • Collaborate with product teams to integrate prompt solutions into production AI systems
  • Create documentation and best practices for prompt optimization across domains
  • Conduct A/B testing to measure prompt performance and drive iterative improvements
  • Mentor junior engineers on prompt engineering methodologies and ethical AI practices
  • Stay current with emerging LLM capabilities and research breakthroughs

Qualifications

  • 3+ years of experience in prompt engineering or NLP model optimization
  • Expertise with LLMs including GPT-4, Claude, and open-source alternatives
  • Proven track record of shipping production AI systems with measurable impact
  • Strong Python programming and API integration skills
  • Deep understanding of transformer architectures and fine-tuning processes
  • Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases)
  • Excellent communication skills with ability to translate technical concepts for stakeholders
  • Portfolio demonstrating prompt engineering projects and their outcomes

Required Skills

Prompt Engineering GPT-4 Claude NLP Machine Learning Python API Development Fine-tuning MLOps Transformer Architecture

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