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Vi is hiring a Senior Applied AI Engineer to build and deploy production AI agents for enterprise wellness clients. You'll own the full stack: from understanding client workflows and translating them into agentic designs, to building data ingestion pipelines, integrating with CRM systems, and operating real-time agent infrastructure in production.
Key responsibilities include designing and deploying AI agents end-to-end for healthcare and wellness customers; running technical sessions with clients' clinical, IT, and ops teams to convert business needs into prompt engineering, tool design, retrieval strategies, and vector store architecture; integrating with client data systems (CRMs, data warehouses) and building the ETL/ELT pipelines to support them; writing production agent runtime, routing, and orchestration logic; designing databases (relational and caching layers) that support real-time operations and compliance audit trails; and codifying per-client configuration patterns into reusable platform components.
You'll need 5+ years shipping customer-facing production software, with fluency across multiple languages (JavaScript/Node, TypeScript, Python). Strong experience building real-time systems (WebSockets, streaming, event-driven architectures, high-throughput APIs) is essential. You should have hands-on production integration work with CRM platforms like Salesforce or HubSpot, and familiarity with data warehouse connectors (Snowflake, Databricks, S3). Experience building retrieval and ingestion pipelines with proper guardrails and caching is required. You'll need working knowledge of data engineering patterns (ETL/ELT, data quality, heterogeneous source ingestion), comfort with cloud infrastructure (AWS/GCP, containers, CI/CD, monitoring), and strong client-facing communication skills. A startup disposition—building fast, shipping, fixing what breaks—is critical.
Nice-to-haves include voice/telephony infrastructure experience, LLM orchestration and agentic system design expertise, workflow or rules engine experience, and product sensibility that influences technical decisions.
