Attune builds voice and conversation automation for healthcare payors and providers, running agentic workflows on LangGraph, LangChain, MCP and RAG atop a Python, Java/Spring and TypeScript codebase. The infrastructure layer (Kubernetes on AWS EKS, Terraform, ArgoCD, Datadog, Prometheus) points to a team operating live production agents, and current engineering-only hiring centers on EHR integration, deployment speed and debugging real-time agent behavior.
Attune is a privately held healthcare AI company headquartered in Chicago, Illinois, with 51–200 employees. It provides an agentic engagement platform that automates voice and conversational outreach for health plans and care providers. Use cases include health risk assessments, care coordination, appointment scheduling, follow-up calls and benefits navigation. The platform is designed to follow clinical, operational and regulatory rules while integrating with healthcare systems in real time, offloading routine work from nurses, care managers and service teams.
Attune uses LangGraph, LangChain, MCP and RAG for AI agents, with Python, Java/Spring, TypeScript, React and Next.js, plus PostgreSQL, Redis, Kafka, Snowflake, and Kubernetes on AWS EKS.
Job posts point to voice AI agent development, EHR API integration, data pipelines, real-time AI-driven communication workflows, YAML-defined agent workflows, and faster, more reliable deployments.
Attune is headquartered in Chicago, Illinois, and currently hires in the United States, with open roles concentrated in engineering.
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Attune's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
