
Healthcare Insurance • Cybersecurity • SaaS
TRIMEDX is a leading provider of clinical asset management solutions, focusing on optimizing and securing medical equipment in healthcare settings. They offer comprehensive services including clinical engineering, preventative maintenance, supply chain management, regulatory compliance, and medical equipment replacement planning. Known for their expertise in cyber security and real-time location services (RTLS), TRIMEDX helps healthcare organizations manage their clinical assets effectively, improve operational efficiencies, and protect sensitive data. Their commitment to innovation and quality is evidenced by various certifications and their inclusion in the Global Top 100 Inspiring Workplaces List.
1001 - 5000 employees
Founded 2010
⚕️ Healthcare Insurance
🔒 Cybersecurity
☁️ SaaS
💰 $200k Debt Financing on 2014-01
October 29
🌲 North Carolina – Remote
🤠 Texas – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor

Healthcare Insurance • Cybersecurity • SaaS
TRIMEDX is a leading provider of clinical asset management solutions, focusing on optimizing and securing medical equipment in healthcare settings. They offer comprehensive services including clinical engineering, preventative maintenance, supply chain management, regulatory compliance, and medical equipment replacement planning. Known for their expertise in cyber security and real-time location services (RTLS), TRIMEDX helps healthcare organizations manage their clinical assets effectively, improve operational efficiencies, and protect sensitive data. Their commitment to innovation and quality is evidenced by various certifications and their inclusion in the Global Top 100 Inspiring Workplaces List.
1001 - 5000 employees
Founded 2010
⚕️ Healthcare Insurance
🔒 Cybersecurity
☁️ SaaS
💰 $200k Debt Financing on 2014-01
• Lead cross-functional software engineering teams to build AI-enabled applications using LLMs and other advanced ML models. • Collaborate with business stakeholders to identify high-impact opportunities to apply AI to core business problems. • Oversee the end-to-end software lifecycle: architecture, development, testing, deployment, and support. • Champion AI innovation by integrating generative AI, prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and related techniques into software solutions. • Guide development teams in adopting best practices for ethical, responsible AI and model explainability. • Partner with data scientists and MLOps teams to operationalize models into scalable and maintainable systems. • Lead technology roadmap planning and prioritization to align AI application with business strategies. • Ensure applications meet performance, security, compliance, and service-level requirements. • Promote a culture of continuous learning and improvement with a focus on emerging AI/ML technologies. • Coach, develop, and retain top talent within the engineering organization.
• At least 5 years of experience in software engineering with a strong foundation in AI/ML technologies is required. • At least 3 years of experience managing a team is required, preferably in software development environment. • Proven experience deploying LLMs (e.g., OpenAI, Claude, Mistral, Gemini, LLaMA) in production environments. • Deep understanding of modern AI/ML frameworks, MLOps principles, and generative AI patterns. • Experience with cloud-based AI platforms (e.g., Vertex AI, SageMaker, Azure OpenAI, or Snowflake Cortex). • Strong background in software architecture and agile development methodologies. • Exceptional communication skills with the ability to explain complex AI concepts to business leaders. • Demonstrated success leading innovation initiatives in high-growth or enterprise environments. • Experience in integrating AI into enterprise platforms such as ERP, CRM, or custom business systems. • Familiarity with hybrid AI approaches (symbolic + neural), reinforcement learning, or autonomous agents. • Strong knowledge of prompt engineering, vector search, fine-tuning, and inference optimization. • Experience in regulated industries or handling sensitive data (e.g., healthcare, finance).
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
Apply NowOctober 29
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