Odiggo builds AI agents that automate healthcare administrative tasks—a stack heavy on TypeScript, React, Python, and healthcare interop standards (FHIR, HL7, Epic Systems, Athena). The company is expanding rapidly across engineering, sales, and research (16 open roles, 8 posted in the last 30 days) with a senior-skewed hiring profile and active infrastructure work around cross-agent systems and an agentic marketplace. Security and compliance are central friction points: multiple pain signals around legacy integrations, device compliance, and third-party risk management suggest they're selling into regulated environments where trust and audit posture block deals.
Odiggo is a two-to-ten-person startup founded in 2019 and based in San Francisco, structured as a partnership. The company targets healthcare providers and administrative teams with AI-agent-based solutions designed to reduce delays in patient care and eliminate manual, error-prone scheduling and billing workflows. The product architecture centers on multi-agent coordination, healthcare data standards compliance (FHIR, HL7), and deep integrations with major EHR systems (Epic Systems, Athena). Current hiring spans engineering, sales, product, research, and security, with active expansion in the United States and United Arab Emirates.
TypeScript, React, Python, AWS, GCP, Azure, Node.js, with healthcare-specific libraries FHIR and HL7. Integration points include Epic Systems and Athena EHRs via APIs, plus CI/CD tooling (Jenkins, GitHub Actions, Jira).
Multi-agent system architecture, cross-agent design systems, agentic marketplace infrastructure, healthcare talk track refinement, and ticketing system implementation. Core work centers on interoperability with legacy EHR systems and AI agent coordination.
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