Principal Engineer – AI Engineering

Jobtailor; Massachusetts; Hybrid; USD 135,000 - 190,000; Full time

Job summary

Jobtailor seeks an experienced prompt engineer to translate business needs into effective prompts and integrate LLM solutions across applications. You will develop, test, and refine prompts for diverse use cases while collaborating with domain experts and software teams.

Ideal candidates have 7+ years in AI/ML, strong Python skills, and experience with GPT models and PyTorch. A focus on energy-related projects and a hybrid onboarding path in NY/MA is expected.

Qualifications

• 7+ years of relevant experience in AI/ML or related field.
• Bachelor's degree in CS/AI/ML or related fields.
• Must be willing to work out of an office in Niskayuna, NY or Cambridge, MA.
• Cambridge-based resources must complete a three-month hybrid onboarding residency in Niskayuna, NY.
• Must be legally authorized to work in the United States.
• Master's or PhD in CS/Engineering/Data Science preferred.
• 3+ years of prompt engineering and tools like GPT/Hugging Face preferred.
• 3+ years of Python or similar AI/ML languages preferred.
• Experience with PyTorch and data processing libraries preferred.
• NLP or ML project experience or internships preferred.
• Familiarity with Git preferred.
• Strong problem-solving and communication skills.
• Ability to collaborate in a team and adapt to changes.
• Understanding of traditional industry operations and challenges.

Responsibilities

• Collaborate with domain experts to understand business needs and translate them into effective prompts.
• Develop, test, and refine prompts for varied use cases.
• Ensure high accuracy and relevance in generated outputs.
• Work with software developers to integrate LLM solutions into applications.
• Contribute to a scalable prompt-engineering framework across business units.
• Gather and analyze user feedback to improve prompt effectiveness.
• Track advancements in LLM technology and contribute to tool/platform selection.
• Document prompt-engineering processes, best practices, and use-case outcomes.
• Collaborate with GE Vernova businesses, the U.S. government, and technology entities on energy-focused projects.

Skills

Prompt engineering

Python programming

Cross-functional collaboration

Explain complex topics

Education

Bachelor's degree in CS/AI/ML

Master's/PhD preferred

Tools

GPT models

Hugging Face

PyTorch

Job description

• Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts
• Develop, test, and refine prompts for varied use cases
• Ensure high accuracy and relevance in generated outputs
• Work with software developers to integrate LLM solutions into applications
• Contribute to a scalable prompt-engineering framework across business units
• Gather and analyze user feedback to improve prompt effectiveness
• Track advancements in LLM technology and contribute to tool and platform selection
• Document prompt-engineering processes, best practices, and use-case outcomes
• Collaborate with GE Vernova businesses, the U.S. government, and technology entities on energy-focused projects

Requirements

• 7+ years of relevant experience
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields
• Must be willing to work out of an office in Niskayuna, NY or Cambridge, MA
• Cambridge-based resources must complete a required three-month hybrid onboarding residency in Niskayuna, NY
• Must be legally authorized to work in the United States
• Master's or PhD degree in Computer Science, Engineering, Data Science, or related field preferred
• 3+ years of experience with prompt engineering and tools such as OpenAI's GPT models and Hugging Face preferred
• 3+ years of experience with Python or other AI/ML programming languages preferred
• Experience with machine learning frameworks such as PyTorch and data processing libraries such as Pandas and NumPy preferred
• Previous NLP or machine learning project experience or internships preferred
• Familiarity with Git preferred
• Strong problem-solving skills and attention to detail
• Excellent communication skills for explaining complex technical concepts to non-technical stakeholders
• Ability to collaborate in a team environment and adapt to changing project requirements
• Understanding of traditional industry operations and challenges

Core Competencies

Demonstrates expertise in prompt engineering, particularly with OpenAI's GPT models and Hugging Face, while leveraging strong programming skills in Python and familiarity with machine learning frameworks like PyTorch. Capable of collaborating with cross-functional teams to enhance prompt effectiveness and integrate LLM solutions into applications.