Senior AI Engineer: Prompt Engineering & LLM Frameworks

GE Vernova; Cambridge (MA); On-site; USD 132,000 - 219,000; Full time

Benefits offered by this job

Relocation assistance

Medical/Dental/Vision

401(k) with company match

Tuition assistance

Paid time off

Job summary

GE Vernova is building a team to leverage Generative AI and redefine engagement across industries. We seek an AI Engineer to craft and optimize prompts for LLMs, collaborating with domain experts to develop software solutions that address internal and external needs.

The role sits at the intersection of advanced technology and traditional industry, offering impact on business processes and a path to career growth. Expect a hybrid onboarding residency if based in Cambridge, MA.

Qualifications

• 10+ years of relevant experience with AI/ML
• Master’s or PhD in CS/AI/ML or related field
• 3+ years of experience with prompt engineering and tools like OpenAI GPT models, Hugging Face
• 5+ years of Python experience
• Experience with PyTorch and data processing libraries (Pandas, NumPy)
• Past NLP or ML project experience preferred
• Familiarity with Git and version control
• Strong communication and collaboration skills

Responsibilities

• Collaborate with domain experts to translate business needs into LLM prompts
• Develop, test, and refine prompts for multiple use cases
• Work with software developers to integrate LLM solutions
• Contribute to scalable prompt engineering framework for reuse
• Collect and analyze user feedback to improve prompts
• Stay updated with LLM advancements and tool selection
• Document engineering processes and outcomes to build knowledge base

Skills

Prompt engineering

Python

PyTorch

NLP

Git

Education

Master’s or PhD in CS/AI/ML/Engineering/Data Science

Tools

GPT models

Hugging Face

Git

PyTorch

Job description

GE Vernova is building a team to leverage Generative AI and redefine engagement across industries. We seek an AI Engineer to craft and optimize prompts for LLMs, collaborating with domain experts to develop software solutions that address internal and external needs.

The role sits at the intersection of advanced technology and traditional industry, offering impact on business processes and a path to career growth. Expect a hybrid onboarding residency if based in Cambridge, MA.