Sr Staff Engineer - AI Engineering
GE Vernova · Posted Oct 22
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova is building a dedicated team to leverage Generative AI to streamline operations, improve customer experiences, and drive growth, with the goal of automating prompting and developing a reusable prompting framework shared across businesses. The role sits at the intersection of advanced LLM technology and traditional industry. The AI Engineer will create and optimize prompts for LLMs, collaborate with domain experts and end users, and work with software developers to integrate LLM solutions into internal and external applications.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Master's/ PhD degree in Computer Science, Engineering, Mathematics, or related field with 10+ years' 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
Preferred qualifications
- PhD or Master’s degree in Computer Science, Engineering, Data Science, AI Engineering, 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.
Benefits and support
- Relocation Assistance Provided
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
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