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Vi

Principal Applied AI Engineer

Vi

Principal Applied AI Engineer at Vi, building and shipping AI systems for healthcare clients. Collaborating with enterprise customers to design and integrate AI orchestrated workflows.

Posted 6/4/2026full-timeRemote • California • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSCloudETLGoogle Cloud PlatformJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • No specific benefits mentioned in the listing.

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Hard Skills & Tools
TypeScriptPythonJavascriptNode.jsWebSocketsETLELTAPI servicesdata engineering patternsreal-time systems
Soft Skills
client-facing communicationcollaborationproblem-solvingadaptabilitystartup disposition