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PartsSource Inc. · 1 day ago

AI Application Engineer

Hudson, OH

Full-time

Hybrid

Mid Level

PartsSource Inc. is the leading technology and software platform for managing mission-critical healthcare equipment. They are seeking a skilled AI Application Engineer to design, develop, and deploy production-grade applications powered by Large Language Models (LLMs), focusing on creating robust, scalable, and data-driven solutions.

Medical DeviceSoftware

Growth Opportunities

Responsibilities

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

Qualification

Large Language ModelsSoftware engineeringCloud platformsTypeScriptGenkitFirebaseDevOps practicesProblem-solvingCollaboration

Required

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

Preferred

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)

Benefits

Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!)

Career and professional development through training, coaching and new experiences.

Hybrid culture with new & beautiful workspaces that balance flexibility, collaboration, and productivity.

Inclusive and diverse community of passionate professionals learning and growing together.