Senior Applied AI Engineer – Wellness

🕒 August 26

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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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

• Build and deploy AI agents for Wellness clients end-to-end • Translate client workflows into real agent workflow designs • Run technical sessions with clients’ clinical, IT, and operations teams • Convert client needs into prompts, tools, retrieval shapes, and vector stores • Integrate with client data systems, including CRMs • Build ingestion pipelines to support client data integrations • Write the production stack, including agent runtime, routing, orchestration, and evaluations • Help build the ML side in Python, including training, embeddings, and model registry • Compose declarative guardrails and integrations within workflows • Design and maintain relational databases and caching layers for real-time agent operations and compliance audit trails • Codify per-client configuration patterns into reusable components to accelerate onboarding • Collaborate with product, account management, and platform engineering to turn field learnings into platform improvements

🎯 Requirements

• 5+ years in a production engineering role shipping customer-facing software • Solutions engineering or consulting backgrounds qualify if writing and deploying production code, not just scoping it • Fluency in a wide range of programming languages, including 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 such as Salesforce or HubSpot, or data warehouse/lake connectors such as Snowflake, Databricks, or S3 • Experience building retrieval and ingestion paths that feed agents reliable context with correct guardrails and caching • Working knowledge of data engineering patterns: ETL/ELT pipelines, data quality checks, and ingestion from heterogeneous sources • Comfort with cloud infrastructure, including AWS or GCP, containers, CI/CD, monitoring, and basic security practices • Strong client-facing communication and ability to run technical working sessions with customers’ IT teams and translate findings into engineering decisions • Startup disposition: ability to build, ship, and fix what breaks • Nice to have: voice or telephony infrastructure experience • Nice to have: LLM orchestration and agentic system design, including prompt engineering, function calling, structured output, and guardrails • Nice to have: experience with workflow engines, rules engines, or state machine architectures • Nice to have: product sensibility and ability to influence product direction through technical insight