Staff Engineer - AI Engineering

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.
• Aid 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.

Requirements

• 3+ years of relevant experience.
• Minimum of a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
• Eligibility to work in the United States.
• Accelerated Immersion for Senior talent: Required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY.
• Experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
• Experience with Python or other programming languages commonly used in AI/ML development.
• 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.
• 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.
• Understanding of traditional industry operations and challenges.

Qualifications

• Preferred PhD degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
• 3+ years of experience with Python or other programming languages commonly used in AI/ML development.
• 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.
• 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.
• Understanding of traditional industry operations and challenges.

Benefits

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits including the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants.
• Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.