Research Engineer - Generative AI
Research Engineer - Generative AI
Posted on :
10-04-2025
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1 Vacancy
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Job Description
Job Description Summary
GE Vernova is embracing cuttingedge 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 Prompt 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 GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the businesss mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zerocarbon future.
Representing virtually every major scientific and engineering discipline our researchers are collaborating with GE Vernovas businesses the U.S. government and more than 420 entities at the forefront of technology to execute on 150 energyfocused 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
Essential Responsibilities:
- 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 uptodate 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.
Required Qualifications
Qualifications/Requirements:
- Masters degree in Computer Science Engineering Mathematics or related field with 5 years relevant experience.
- Experience with prompt engineering and familiarity with tools such as OpenAIs GPT models Hugging Face etc.
- Proficiency in Python or other programming languages commonly used in AI/ML development.
- Strong problemsolving skills and attention to detail.
- Excellent communication skills with the ability to articulate complex technical concepts to nontechnical 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
Ideal Candidate Characteristics:
- Masters 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
Relocation Assistance Provided: Yes
Employment Type
Full-Time
Key Skills
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