Senior Staff Engineer – AI Engineering

Jobtailor; Massachusetts; On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor seeks a senior Prompt Engineer to collaborate with domain experts and translate business needs into effective LLM prompts. You will develop, test, and refine prompts for diverse use cases and ensure outputs are accurate, integrating solutions with software teams.

The role requires a Master’s with 8+ years (PhD ideal), willingness to work in Cambridge, MA or Niskayuna, NY, travel 2 weeks/year, and hands-on experience with PyTorch, Pandas, NumPy, OpenAI GPT, Hugging Face, and Git.

Qualifications

• Master's degree in Computer Science, Engineering, Mathematics, or related field with 8+ years' relevant experience.
• Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
• Must be willing to travel a minimum of 2 weeks per year.
• Legally authorized to work in the United States.
• PhD degree in Computer Science, Engineering, Data Science, or related field (ideal).
• Experience with machine learning frameworks such as PyTorch.
• Experience with data processing libraries such as Pandas and NumPy.
• Experience with prompt engineering.
• Familiarity with OpenAI GPT models and Hugging Face.
• Proficiency in Python or other programming languages commonly used in AI/ML development.
• Previous experience or internships involving NLP or machine learning projects.
• Familiarity with version control systems such as Git.

Responsibilities

• 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 existing or new applications.
• Contribute to a scalable prompt-engineering framework that promotes reuse and knowledge sharing across business units.
• Gather and analyze user feedback to improve prompt effectiveness.
• Stay current with advancements in LLM technology.
• Contribute to strategic decisions on tool and platform selection.
• Document prompt-engineering processes, best practices, and use-case outcomes.
• Build a comprehensive prompt-engineering knowledge base.
• Complete a required three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY.

Skills

Prompt Engineering

Python Programming

OpenAI GPT Models

Data Processing Libraries

Git

NLP Experience

PyTorch

Hugging Face

Education

Master's degree in CS/Engineering/Data Science

PhD degree (Ideal)

Tools

PyTorch

Pandas

NumPy

OpenAI GPT

Hugging Face

Git

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 existing or new applications
• Contribute to a scalable prompt-engineering framework that promotes reuse and knowledge sharing across business units
• Gather and analyze user feedback to improve prompt effectiveness
• Stay current with advancements in LLM technology
• Contribute to strategic decisions on tool and platform selection
• Document prompt-engineering processes, best practices, and use-case outcomes
• Build a comprehensive prompt-engineering knowledge base
• For Cambridge-based resources, complete a required three-month hybrid onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY

Requirements

• Master's degree in Computer Science, Engineering, Mathematics, or related field with 8+ years' relevant experience
• Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
• Must be willing to travel a minimum of 2 weeks per year
• Legally authorized to work in the United States
• PhD degree in Computer Science, Engineering, Data Science, or related field (ideal)
• Experience with machine learning frameworks such as PyTorch
• Experience with data processing libraries such as Pandas and NumPy
• Experience with prompt engineering
• Familiarity with OpenAI GPT models and Hugging Face
• Proficiency in Python or other programming languages commonly used in AI/ML development
• Previous experience or internships involving NLP or machine learning projects
• Familiarity with version control systems such as Git
• Understanding of traditional industry operations and challenges
• Ability to complete a drug screen, as applicable

Core Competencies

Demonstrates expertise in prompt engineering and machine learning frameworks, with a strong focus on developing and refining LLM prompts for various applications. Proficient in Python and familiar with tools like PyTorch, Pandas, and OpenAI GPT models to enhance prompt effectiveness and integration.

Highest-signal resume keywords

• Prompt Engineering
• Machine Learning Frameworks
• Python Programming
• OpenAI GPT Models
• Data Processing Libraries

ATS Optimization Keywords

Hard Skills

• Prompt Engineering
• Machine Learning Frameworks
• Python Programming
• Data Processing Libraries
• NLP Experience
• Version Control Systems
• Statistical Analysis
• Model Evaluation
• Algorithm Development
• Data Analysis

Soft Skills

• Collaboration
• Analytical Thinking
• Communication
• Problem Solving
• Feedback Analysis

Certifications & Qualifications

• Master's Degree
• PhD Degree (Ideal)

Industry Keywords

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Data Science
• Software Development

Tools & Technologies

• PyTorch
• Pandas
• NumPy
• OpenAI GPT
• Hugging Face
• Git