Principal Applied AI Engineer

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Vi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

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

• Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients, end-to-end. • Translate client workflows into real agent workflow design. • Run technical sessions with clients' clinical, IT, and ops teams; converting needs into prompts, tools, retrieval shapes, and vector stores. • Integrate with client data systems including CRMs, EHR/EMR platforms, specialty pharmacy systems, claims, and Rx data feeds and build the ingestion pipelines to support them. • Write the production stack in TypeScript - agent runtime, routing, orchestration, evals; help build out the ML side in Python (training, embeddings, model registry); compose declarative guardrails & integrations within workflows. • Engineer within HIPAA constraints: real-time API access to PHI (never stored at rest), de-identification pipelines, US-only data residency, encrypted recordings. • Design and maintain databases (relational and caching layers) that support both real-time agent operations and compliance audit trails. • Implement output guardrails ensuring agents remain informational and compliant with healthcare regulatory requirements. • Codify per-client configuration patterns into reusable components so each new client onboards faster than the last. • Collaborate with product, account management, and platform engineering to translate field learnings into platform improvements.

🎯 Requirements

• 7+ years in a production engineering role shipping customer-facing software. • Fluency in modern programming languages (Javascript/Node, Typescript, Python, etc). • Experience building and operating real-time systems: WebSockets, streaming media, event-driven architectures, or high-throughput API services. • Production integration work with CRM platforms (Salesforce, HubSpot, or similar), healthcare data systems (EHR/EMR, claims, pharmacy). • Working knowledge of data engineering patterns: ETL/ELT pipelines, data quality checks, ingestion from heterogeneous sources. • Comfort with cloud infrastructure (AWS, GCP): containers, CI/CD, monitoring, and basic security practices. • Ability to work within HIPAA-regulated environments. • Strong client-facing communication skills. • Startup disposition: you build, you ship, you fix what breaks. • Nice to Have: Voice or telephony infrastructure experience; LLM orchestration and agentic system design; Healthcare or life sciences domain knowledge; Experience with workflow engines, rules engines, or state machine architectures; Product sensibility.

🏖️ Benefits

• No specific benefits mentioned in the listing.