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Partssourcevia Greenhouse

AI Application Engineer

Charlotte, North Carolina, United States; Hudson, Ohio, United StatesPosted 0mo ago
OtherMid LevelFull-time

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About the Role

PartsSource is the leading technology and software platform for managing mission-critical healthcare equipment. Trusted by over 5,000 US hospitals and 15,000 clinical sites, PartsSource empowers providers and service organizations to maximize clinical availability for patient care and automates the procurement of parts, services and training through a unique digital experience.


PartsSource team members are deeply committed to our mission of Ensuring Healthcare is Always On®, which is foundational to our success and growth. Our vibrant culture is built upon aligned values, shared ownership, mutual respect, and a passion for collaborating to solve complex customer problems.

About the Job Opportunity

We are seeking a skilled AI Application Engineer to design, develop, and deploy production-grade applications powered by Large Language Models (LLMs). This role combines traditional software engineering best practices with cutting-edge techniques to orchestrate LLM workflows and build agentic systems. The ideal candidate is passionate about leveraging AI to create robust, scalable, and data-driven solutions, with a focus on experimentation, evaluation, and continuous improvement. 

What You’ll Do  

  • Design and implement production-grade applications that integrate LLMs to deliver intelligent, user-centric solutions. 
  • Develop and orchestrate complex LLM workflows to enable agentic systems capable of autonomous decision-making and task execution. 
  • Apply software engineering best practices, including modular design, testing, and CI/CD, to ensure high-quality, maintainable codebases. 
  • Utilize a data-driven approach to develop, evaluate, and optimize LLM interactions, incorporating metrics, experimentation, and iterative research. 
  • Collaborate with cross-functional teams, including data scientists, product managers, and UX designers, to align AI solutions with business objectives
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