New opportunity

Sr Staff GenAI Engineer

GE Vernova · Cambridge; Niskayuna, United States

About this role

GE Vernova Advanced Research seeks a Sr Staff GenAI Engineer to develop and optimize prompts for large language models. The team aims to automate prompting and create a reusable framework for use cases across its businesses, supporting software solutions for internal and external needs.

Responsibilities

  • Work with domain experts to translate business needs into effective LLM prompts; develop, test and refine prompts for accuracy and relevance.
  • Collaborate with software developers to integrate LLM solutions into new or existing applications.
  • Help build a scalable prompt-engineering framework that supports reuse and knowledge sharing across business units.
  • Gather and analyze user feedback, advise on LLM tools and platforms, and document processes, best practices and use-case outcomes.

Required qualifications and eligibility:

  • At least 5 years of relevant experience and a Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering or a related field.
  • Willingness to work out of an office in Cambridge, Massachusetts, or Niskayuna, New York. Candidates must be legally authorized to work in the United States. Cambridge-based hires must complete a three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna; travel, housing and a living stipend are provided.

Preferred qualifications

  • A Master’s or PhD in Computer Science, Engineering, Data Science or a related field; at least 3 years of prompt-engineering experience and familiarity with tools such as OpenAI GPT models and Hugging Face; and at least 3 years of experience with Python or another AI/ML programming language.
  • Experience with PyTorch, Pandas, NumPy, NLP or machine-learning projects, and Git. Strong problem-solving, attention to detail, communication and teamwork skills, adaptability, and an understanding of traditional industry operations are preferred.

Compensation and benefits: The stated U.S. pay range is $130,200–$217,100, with geographic salary differentials in certain areas and eligibility for a discretionary annual bonus. Relocation assistance is provided. Benefits include health coverage, retirement contributions, tuition and adoption assistance, paid parental leave, disability and life insurance, 12 paid holidays, and permissive time off.

Skills for this role

Prompt engineeringLarge language modelsGenerative AIOpenAI GPT modelsHugging FacePythonPyTorchPandasNumPyNatural language processingMachine learningGitSoftware integrationUser feedback analysisTechnical documentationProblem-solvingCommunicationCollaboration

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