Job Description Summary

GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.

We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

As a GE Vernova accelerator, AI Foundry is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

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/Requirements:

• Masters' degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 8-12 years of relevant experience

• 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.

• 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.

• Candidate must be willing to travel a minimum of 2 weeks per year

• Must be 18 years or older

• Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor’s nor Master's level for employment visas, now or in the future, for this job opening.

• You must submit your application for employment on the careers page at www.gecareers.com to be considered
   

Ideal Candidate Characteristics:

• Master’s degree in Computer Science, Engineering, Data Science, or related field

• 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.

Additional Information