Experience:

• 12-15 years relevant experience
• Willing to travel a minimum of 2 weeks per year

Qualification:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
• PhD or Master’s degree in Computer Science, Engineering, Data Science, AI Engineering, or related field

Responsibilities:

• Collaborate with domain experts to translate business needs into effective LLM prompts
• Develop, test, and refine prompts for various use cases
• Work with software developers to integrate LLM solutions into applications
• Contribute to developing a scalable prompt engineering framework
• Gather and analyze user feedback to improve prompt effectiveness
• Stay updated with advancements in LLM technology
• Document prompt engineering processes, best practices, and use case outcomes

Additional responsibilities:

• Contribute to strategic decisions on tool and platform selection
• Work collaboratively in a team environment
• Adapt to changing project requirements

Nice to have:

• Experience with NLP or machine learning projects
• Understanding of traditional industry operations and challenges
• Previous internships involving NLP or machine learning

More skills:

Prompt engineering, OpenAI GPT models, AI/ML development, Machine learning frameworks, Data processing libraries, Version control systems

Other:

• Relocation assistance provided
• Part of research and development efforts to support energy transition
• Collaboration with GE Vernova’s businesses, U.S. government, and technology entities