AI Application Engineer

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 . Stay up-to-date with emerging AI technologies, tools, and frameworks to drive innovation in application development. Deploy and manage applications on cloud platforms, ensuring scalability, reliability, and security. What You’ll Bring Bachelor’s degree in Computer Science , Engineering, or a related field (or equivalent experience). Proven experience in software engineering, including designing, developing, and deploying production-grade applications. Strong understanding of data-driven development, including experimentation, evaluation, and optimization of AI models and interactions. Knowledge of agentic systems and their applications in automating complex tasks. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Who We Want to Meet Hands-on expertise with Genkit for orchestrating LLM workflows and building agentic systems. Familiarity with Firebase for rapid development, authentication, and real-time data management. Strong proficiency in TypeScript for building robust, type-safe applications. Experience with Google Cloud Platform (GCP), including Vertex AI and Gemini, for deploying and managing AI workloads. Experience with other cloud platforms (e.g., AWS, Azure) and their AI/ML services. Familiarity with additional AI frameworks or libraries for building and evaluating LLM-based applications. Background in researching and experimenting with LLMs to improve performance and user experience. Understanding of DevOps practices, including containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Why Join Us? Work on cutting-edge AI applications that push the boundaries of what’s possible with LLMs. Collaborate with a talented team passionate about innovation and impact . Access to state-of-the-art tools and technologies in a supportive, growth-oriented environment. Contribute to building scalable, agentic systems that solve real-world problems. Reporting Structure This position reports directly to the VP of Business Technology and will collaborate closely with senior leaders across operations, finance, sales, an