Job Description Summary

Job Description

• 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.

Qualifications:

• Master's degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 5+ years' relevant experience.

Ideal Candidate Characteristics:

• PhD in Computer Science, Engineering, Data Science, or related field

• Experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.

• Proficiency in 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.

• Understanding of traditional industry operations and challenges.

• 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.

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on August 21, 2026.

 

 

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

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.