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Staff Engineer – AI Engineering

Job in Newton, Middlesex County, Massachusetts, 02165, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

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, Num Py).
  • 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.
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