AI Engineer

🕒 May 26

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Verathon

501 - 1000 employees

Founded 1984

⚕️ Healthcare Insurance

🧬 Biotechnology

Healthcare Insurance • Biotechnology • Medical Devices

Verathon is a medical technology company that specializes in airway management and bladder scanning solutions. They offer innovative products such as video laryngoscopes and single-use bronchoscopes, designed to improve patient care in various medical specialties including anesthesia, emergency medicine, and critical care. With a commitment to advancing healthcare practices, Verathon combines advanced technology with a focus on sustainability and social impact.

📋 Description

• Design, develop, and deploy AI-powered solutions including custom GPTs, copilots, and agentic workflows using enterprise LLM platforms and APIs. • Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data connectors to enable Verathon-owned data usage. • Collaborate with AI Business Partners and other departmental representatives to translate functional requirements and use-case concepts into technical implementations. • Translate business-defined context into structured prompts, system instructions, agent behaviors, and RAG retrieval logic (“technical context engineering”). • Refine and optimize context injection strategies (prompt templates, chains, tools, memory, retrieval parameters) to improve solution reliability and accuracy. • Prototype rapidly, iterate based on user feedback, and deliver production-ready AI solutions with appropriate guardrails. • Develop reusable prompts, templates, automations, and components to accelerate future AI solution development. • Integrate AI tools with Verathon systems (e.g., Salesforce, Epicor, MasterControl, HRIS) following architecture, security, and compliance standards. • Partner with the AI Solutions Architect to evaluate and implement new AI tools and ensure alignment with Verathon’s AI Policy and Roper guidelines. • Document solutions clearly and support functional teams through adoption, training, and scaling of deployed AI tools.

🎯 Requirements

• Bachelor’s degree in computer science, engineering, information systems, data science, or related field. • 3–7 years of experience in software development, automation engineering, data engineering, or applied AI development. • Hands-on experience with Python, REST APIs, and modern AI/LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex). • Experience configuring and deploying AI tools such as ChatGPT Enterprise, Copilot, Claude, or similar enterprise AI platforms. • Understanding of Retrieval-Augmented Generation (RAG), vector databases, and prompt design best practices. • Familiarity with integration patterns for enterprise systems and cloud environments (Azure/AWS). • Demonstrated ability to rapidly experiment, prototype, and iterate AI solutions based on business feedback. • Strong collaboration skills and comfort working closely with business and technical stakeholders.

🏖️ Benefits

• medical • dental • vision • basic life insurance • paid holidays • paid time off • 401(k) matching plan

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