Senior Principal AI Engineer

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

• 10+ years of relevant experience
• Minimum of 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 Cambridge, MA or Niskayuna, NY
• Preferred:
  Master’s or PhD degree in Computer Science, Engineering, Data Science, or related field
• Experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
• 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
• Understanding of traditional industry operations and challenges.

Demonstrates expertise in prompt engineering and machine learning, with a strong foundation in Python and relevant frameworks. Capable of collaborating with cross‑functional teams to develop scalable LLM solutions and effectively communicate technical concepts to diverse stakeholders.