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GE Vernova

Senior Staff GenAI Engineer

GE Vernova

Prompt Engineer at GE Vernova creating and optimizing prompts for LLMs. Collaborate with domain experts and software developers to drive AI solutions in energy transition.

Posted 7/18/2026full-timeCambridge • Massachusetts, New York • 🇺🇸 United StatesSenior💰 $130,200 - $217,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in prompt engineering, leveraging advanced knowledge in LLM technologies and programming languages such as Python. Capable of collaborating with cross-functional teams to develop scalable solutions and effectively communicate complex concepts to diverse stakeholders.

Highest-signal resume keywords
Prompt EngineeringLLM TechnologyPython ProgrammingMachine Learning FrameworksNLP Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Prompt EngineeringPython ProgrammingMachine LearningData ProcessingNLPVersion ControlProblem-SolvingAttention to DetailFramework DevelopmentUser Feedback Analysis
Soft Skills
Excellent CommunicationTeam CollaborationAdaptability
Tools & Technologies
OpenAI GPT ModelsHugging FacePyTorchPandasNumPyGit
Certifications & Qualifications
Master’s DegreePhD Degree
Industry Keywords
Artificial IntelligenceMachine LearningData ScienceComputer ScienceEngineering

Tech Stack

Tools & technologies
NumpyPandasPythonPyTorch

About the role

Key responsibilities & impact
  • Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
  • Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.
  • Work closely with software developers to integrate LLM solutions into existing or new applications.
  • Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.
  • Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
  • Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
  • Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.

Requirements

What you’ll need
  • 5+ years of relevant experience and a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields
  • Master’s or PhD degree in Computer Science, Engineering, Data Science, or related field
  • 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
  • 3+ years of experience with Python or other programming languages commonly used in AI/ML development.
  • Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
  • Previous experience or internships involving NLP or machine learning projects.
  • Familiarity with version control systems like Git.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and adapt to changing project requirements.
  • Understanding of traditional industry operations and challenges.

Benefits

Comp & perks
  • medical, dental, vision, and prescription drug coverage
  • access to Health Coach from GE Vernova, a 24/7 nurse-based resource
  • access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
  • GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
  • access to Fidelity resources and financial planning consultants
  • tuition assistance
  • adoption assistance
  • paid parental leave
  • disability benefits
  • life insurance
  • 12 paid holidays
  • permissive time off