Jobs · Engineering · New York

Lead Engineer - AI Engineering

GE Vernova · Niskayuna, NY · 2 wk ago
On-siteEngineering$89k–$149k/yrFull-time

About the role

We are seeking a highly motivated and talented Prompt Engineer to join our dynamic team. The successful candidate will create and optimize prompts for large language models (LLMs), collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers the opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

Our team represents virtually every major scientific and engineering discipline, collaborating with GE Vernova’s businesses, the U.S. government, and over 420 entities at the forefront of technology to execute 150+ energy-focused projects.

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.
  • 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.

Requirements

  • 3+ years of relevant experience and a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
  • Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.

Preferred Qualifications

  • Master’s or 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.

Accelerated Immersion for Senior Talent

For Cambridge, MA-based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows senior talent to establish a strong technical foundation, collaborate with premier scientists and engineers, and align with our mission to lead the energy transition. Travel, housing, and living stipend provided.

Pay

The pay range for this U.S.-based position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas. The specific pay offered may be influenced by the candidate’s experience, education, and skill set. Bonus eligibility includes a discretionary annual bonus.

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.
  • 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 and adoption assistance.
  • Paid parental leave, disability benefits, and life insurance.
  • 12 paid holidays and permissive time off.

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