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Senior Prompt Engineer

InnovateAI Labs
Anaheim
Estimated Salary
USD 130.000 – USD 180.000
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

Join our cutting-edge AI division as a Prompt Engineer where you'll shape the future of human-AI interaction. We provide premium equipment including high-performance workstations, specialized GPU clusters, and advanced development tools to accelerate your innovation. This role offers hybrid flexibility in our Anaheim tech hub with state-of-the-art facilities.

You'll collaborate with world-class researchers to design, test, and optimize prompt engineering frameworks for our proprietary language models. The ideal candidate thrives at the intersection of linguistics, machine learning, and creative problem-solving while leveraging our fully-equipped R&D environment.

Responsibilities

  • Design and implement advanced prompt engineering strategies for large language models
  • Develop and maintain prompt libraries with version-controlled documentation
  • Conduct A/B testing on prompt variations to optimize response accuracy
  • Create training materials for engineering teams on prompt best practices
  • Collaborate with ML engineers to integrate prompt systems into production pipelines
  • Analyze model outputs to identify improvement opportunities in prompt design
  • Stay current with emerging NLP techniques and industry benchmarks

Qualifications

  • 3+ years in prompt engineering or NLP-focused development roles
  • Expertise in Python with experience in LLM frameworks (Hugging Face, LangChain)
  • Strong understanding of transformer architectures and attention mechanisms
  • Proven track record of optimizing prompts for specific use cases
  • Experience with MLOps tools and experiment tracking (MLflow, Weights & Biases)
  • Ability to translate business requirements into technical prompt solutions
  • Excellent communication skills with technical and non-technical stakeholders

Required Skills

Prompt Engineering Natural Language Processing Python Machine Learning Hugging Face LangChain MLOps LLM Optimization NLP Frameworks

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