Senior AI Engineer: Prompting & LLM Frameworks

GE Vernova, Inc.; Town of Niskayuna (NY); Hybrid; USD 89,000 - 149,000; Full time

Benefits offered by this job

Relocation assistance provided

Medical, dental, vision coverage and 3

401(k) retirement savings with company

Job summary

GE Vernova, Inc. is seeking an AI Engineer to design and optimize prompts for LLMs and integrate AI capabilities into software solutions. You will collaborate with domain experts to ensure high-quality outputs and contribute to a scalable prompt framework across business units.

The role emphasizes cross-functional teamwork, staying current with AI advances, and documenting best practices to build a robust knowledge base.

Qualifications

• Master's degree in CS/AI/Engineering with 3+ years of relevant experience.
• Experience with prompt engineering and familiarity with LLM tools.
• Proficiency in Python and AI/ML development.

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 with high output relevance.
• Work with software developers to integrate LLM solutions into applications.
• Contribute to a scalable prompt engineering framework for reuse across units.
• Gather user feedback and improve prompt effectiveness.
• Stay updated with LLM tech and assist in tool/platform decisions.
• Document processes, best practices, and outcomes in a knowledge base.

Skills

Prompt engineering

Python

LLM integration

Communication

Education

Master's degree in Computer Science or AI/ML

Tools

OpenAI GPT models

Hugging Face

Job description

GE Vernova, Inc. is seeking an AI Engineer to design and optimize prompts for LLMs and integrate AI capabilities into software solutions. You will collaborate with domain experts to ensure high-quality outputs and contribute to a scalable prompt framework across business units.

The role emphasizes cross-functional teamwork, staying current with AI advances, and documenting best practices to build a robust knowledge base.