Staff Engineer - AI Engineering
At a glance
Senior AI Engineering role at Gevernova. Niskayuna · full-time · $98,400–$164,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Turn business needs gathered from domain experts into LLM prompts for specific use cases
- Test prompt outputs and revise the prompts to improve accuracy and relevance
- Work with software developers to embed LLM solutions in existing and new applications
- Build reusable prompt-engineering practices and document processes, examples, and outcomes
- Use user feedback and new LLM developments to improve prompts and inform tool choices
What you bring
- A master’s degree in computer science, AI/ML, engineering, mathematics or a related field, plus at least five years of relevant experience
- Hands-on prompt-engineering experience and proficiency in Python or another language used for AI/ML work
- Experience with machine-learning frameworks and data-processing libraries, such as PyTorch and Pandas
Who this fits
This senior role suits someone who can translate technical concepts for non-technical partners and collaborate as project needs change. You must be legally authorized to work in the United States; relocation assistance is available.
From the employer
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.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
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 September 01, 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.