Senior Applied AI Engineer

🕒 September 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Vi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.

📋 Description

• Own client engagements end to end, from discovery through production and the first months of operation • Work with client operations, clinical, and IT teams to understand existing workflows • Design, build, and deploy AI agents for healthcare and pharmaceutical operations • Integrate agents with client systems including CRM, EHR/EMR, practice management, claims, and specialty pharmacy systems • Build real-time voice capabilities involving telephony, streaming audio, speech input/output, and latency management • Extract reliable structured data from unstructured healthcare documents • Implement and monitor write paths into systems of record, including handling failed actions • Establish post-launch testing, measurement, monitoring, and quality processes • Develop reusable patterns and components for future deployments • Feed field learnings back to Product and Platform Engineering • Operate systems handling real patients under HIPAA

🎯 Requirements

• Experience integrating LLMs into real workflows handling actual inputs and downstream handoffs • Production experience with real-time systems such as WebSockets, streaming media, event-driven architectures, or high-throughput API services • Experience integrating with external systems including CRM, EHR/EMR, claims, specialty pharmacy, or similar, including write operations • Experience owning a whole system end to end • Client-facing engineering experience with technical and non-technical stakeholders • Strong Python plus TypeScript or Node • Experience shipping production applications • Ability to deploy and operate applications at scale on AWS or GCP • Experience with containers, CI/CD, monitoring, and security practices • Understanding of HIPAA-regulated environments and data-protection requirements • Nice to have: voice or telephony infrastructure at scale, including Twilio, LiveKit, Pipecat, or Amazon Connect • Nice to have: document AI and extraction from low-quality scanned input • Nice to have: healthcare or pharma domain knowledge • Nice to have: workflow engines, rules engines, or state machine architectures • Nice to have: forward-deployed or professional services experience at an AI or data company

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