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Principal Engineer - AI Engineering

GE Vernova · Niskayuna / Cambridge, United States

About this role

GE Vernova Advanced Research seeks a Principal Engineer - AI Engineering to create and optimize prompts for large language models and help build a scalable prompt-engineering framework. The team aims to automate prompting and enable reuse and knowledge sharing across business use cases, supporting internal and external software solutions in the energy industry.

Responsibilities

  • Work with domain experts to turn business needs into effective LLM prompts; develop, test and refine prompts for accurate, relevant outputs.
  • Collaborate with software developers to integrate LLM solutions into new or existing applications. Help develop a scalable prompting framework across business units.
  • Analyze user feedback to improve prompts, track LLM advances, inform tool and platform selection, and document processes, best practices and use-case outcomes.

Required qualifications and eligibility:

  • 10+ 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 from an office in Niskayuna, NY or Cambridge, MA. Applicants must be legally authorized to work in the United States. For Cambridge-based employees, a three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna is required; travel, housing and a living stipend are provided.

Ideal candidate characteristics:

  • A relevant PhD; 3+ years of prompt-engineering experience and familiarity with tools such as OpenAI’s GPT models and Hugging Face; and 5+ years with Python or other AI/ML programming languages.
  • Experience with PyTorch, Pandas or NumPy; NLP or machine-learning projects; Git; and traditional industry operations. Strong problem-solving, communication and collaborative skills are valued.

The U.S. pay range is $131,700.00–$219,300.00, with geographic differentials of 110%, 120% or 130% in certain areas. The role is eligible for a discretionary annual bonus and relocation assistance. Listed benefits include health coverage, retirement contributions, tuition assistance, paid parental leave, 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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