AI Software Engineer

Who We Are

United Imaging is a leading global medical device developer and supplier with a diversified portfolio of advanced medical products, digital healthcare solutions, and intelligent solutions that cover the entire process of imaging diagnosis and treatment.

Join our innovative team with the mission of developing and supplying advanced technologies and improving patient care worldwide. As part of our global team, you will have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

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Benefits & Compensation

When joining our team, we offer the following benefits: medical, dental, vision, short- & long-term disability insurance, employee assistance program, company paid basic life insurance, 401(k) with employer match, paid time off, sick leave, and (12) paid holidays. Compensation decisions are based upon the candidate level of skill, qualifications, geographical location and experience, and it is not typical for an individual to be hired at or near the top of the posted pay range. Additionally, the position may also be eligible to earn performance-based incentive compensation (such as cash bonus(es)).

Job Description

The AI Software Engineer designs, develops, and maintains AI-powered software that supports United Imaging’s business operations, combining strong software engineering skills with hands-on experience applying large language models. The engineer works with business users across quality, manufacturing, finance, HR, and R&D to translate operational needs into reliable software solutions, ensuring stability, security, and maintainability. Responsibilities include gathering requirements, defining system functionality, developing algorithms, and writing production code, primarily in Python and TypeScript.

In this role, you will focus on applied AI for Speed, United Imaging’s in-house AI workspace platform. Speed gives employees an AI assistant and AI agents that work across company files, collaboration tools such as Lark and Microsoft Outlook, and business systems: answering questions, analyzing documents and spreadsheets, running Python analyses in a secure sandbox, automating approval and reporting workflows, and supporting quality reviews of manufacturing records. You will design, build, evaluate, and ship the large language model (LLM) capabilities behind these features, working end to end from use-case discovery with business users to production deployment and measurement of impact.

Key Responsibilities:

· Understanding of the business operational process and providing software solutions.

· Develop flowcharts, layouts and documentation to identify requirements and solutions.

· Produce specifications and determine operational feasibility, integrate software components into a fully functional software system, develop software verification plans and quality assurance procedures

· Document and maintain software functionality, comply with project plans and process requirements, deploy programs, evaluate feedback and upgrade software.

· Design and build LLM-powered features for Speed, including tool-calling AI agents, multi-step workflow automation, and conversational assistants grounded in company documents and business systems.

· Develop retrieval-augmented generation (RAG) and knowledge-base capabilities: document parsing (PDF, Word, Excel, scanned forms), chunking, embeddings, vector search, and answers that cite their sources.

· Apply AI to document review in regulated workflows, such as AI-assisted review of medical device manufacturing and quality records (e.g., Device History Records), with human-in-the-loop sign-off and full traceability.

· Build evaluation pipelines for AI features (labeled datasets, offline replay of real runs, precision/recall and task-success metrics, regression checks for prompt and model changes) and use them to drive measurable quality improvements.

· Integrate and operate commercial LLM APIs and self-hosted open-weight models, balancing quality, latency, and token cost through model routing, context management, and prompt caching, while meeting enterprise data-privacy and security requirements.

· Partner with business users in quality, manufacturing, finance, HR, and R&D to identify high-value AI use cases, prototype quickly, ship to production, and measure adoption and impact.