AI Engineer

Verathon

AI Engineer responsible for developing AI solutions in the medical device sector at Verathon. Collaborating with teams to implement secure, scalable technical solutions.

Posted 5/26/2026full-timeRemote • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $231,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonREST APIsRetrieval-Augmented Generation (RAG)LangChainSemantic KernelLlamaIndexprompt designautomation engineeringdata engineeringapplied AI development

Soft Skills

collaborationcommunicationrapid prototypingiterationuser feedback integrationtrainingdocumentationstakeholder engagementproblem-solvingadaptability

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in engineeringBachelor’s degree in information systemsBachelor’s degree in data science