Staff Engineer – AI Engineering

Jobtailor; Massachusetts; On-site; USD 100,000 - 150,000; Full time

Job summary

Jobtailor in Massachusetts seeks a skilled Prompt Engineer to translate business needs into effective LLM prompts and work with domain experts to build impactful AI solutions.

You will develop, test, and refine prompts across use cases, collaborate with developers to integrate LLMs, and contribute to a scalable framework while documenting outcomes.

Qualifications

• 3+ years of prompt engineering experience.
• Master’s degree in CS/AI/ML or related field.
• Willing to work at office in Niskayuna, NY or Cambridge, MA.
• 3+ years with GPT models, Hugging Face, etc.
• 3+ years with Python or similar AI/ML languages.
• Experience with PyTorch and data libraries (Pandas/NumPy).
• NLP or ML project internships or experience.
• Familiar with version control (Git).
• Strong problem-solving and clear communication.

Responsibilities

• Collaborate with domain experts to turn business needs into LLM prompts.
• Develop, test, and refine prompts for various use cases.
• Work with software developers to integrate LLM solutions.
• Contribute to a scalable prompt engineering framework.
• Gather and analyze user feedback to improve prompts.
• Stay updated on LLM advances and tool choices.
• Document processes, best practices, and outcomes.

Skills

Prompt engineering

Python

LLM deployment

Team collaboration

Education

Master's degree in Computer Science/AI/ML

Tools

OpenAI GPT models

Hugging Face

Git

Job description

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.
• Minimum of a Master’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.
• 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.