Principal Applied AI Engineer

🕒 Junho 4

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

A Vi é uma empresa que aproveita a inteligência artificial para ajudar organizações de saúde a melhorar os resultados de saúde dos membros e os retornos financeiros. A empresa fornece uma plataforma SaaS de IA que oferece soluções para aquisição eficiente, engajamento personalizado e retenção preditiva ao longo do ciclo de vida do membro. A Vi foca em maximizar a aquisição, inscrição, engajamento, retenção, vendas adicionais e resultados de saúde com ROI superior. Sua plataforma é projetada para reduzir o custo por aquisição, melhorar o engajamento e retenção de membros, e transformar operações com sua tecnologia de IA generativa. A Vi trabalha com grandes empresas globais de saúde para impulsionar resultados em escala, garantindo o cumprimento de padrões de privacidade e segurança de dados.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• No specific benefits mentioned in the listing.