
11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed on 2024-02
Healthcare • Artificial Intelligence • SaaS
UpDoc is a clinical AI company that provides an enterprise-grade, physician-governed software platform integrated with EHRs and clinical workflows to deliver continuous, evidence-based interventions between visits for chronic disease management. The company emphasizes FDA-cleared, patient-facing large language model (LLM) capabilities, monitoring structured patient data, coordinating with care teams, and operationally embedding into health systems to improve outcomes, adherence, and reduce costs. UpDoc is backed by healthcare organizations and pharmaceutical and advocacy partners (e. g. , Mayo Clinic, Eli Lilly, American Diabetes Association).
🔥 1 minute ago
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11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed on 2024-02
Healthcare • Artificial Intelligence • SaaS
UpDoc is a clinical AI company that provides an enterprise-grade, physician-governed software platform integrated with EHRs and clinical workflows to deliver continuous, evidence-based interventions between visits for chronic disease management. The company emphasizes FDA-cleared, patient-facing large language model (LLM) capabilities, monitoring structured patient data, coordinating with care teams, and operationally embedding into health systems to improve outcomes, adherence, and reduce costs. UpDoc is backed by healthcare organizations and pharmaceutical and advocacy partners (e. g. , Mayo Clinic, Eli Lilly, American Diabetes Association).
• Identify and own high-leverage automation projects end-to-end • Find friction across engineering, operations, and compliance and replace it with reliable software • Automate regulatory and compliance workflows, including compliant software releases, evidence collection, traceability, documentation, approvals, and recurring compliance work • Improve engineering productivity and developer experience through CI, release tooling, debugging tools, internal developer tools, and repetitive-work automation • Build AI-enabled internal workflows for conversation annotation, data labeling, evaluation, structured extraction, review, triage, and agentic processes • Combine LLMs with deterministic software, validation, monitoring, and human review where appropriate • Integrate internal and external systems • Build reliable, maintainable production software with testing, observability, auditability, and failure handling • Improve solutions based on usage
• 5+ years of professional software engineering experience • Ideally experience in backend, platform, developer productivity, internal tools, or other generalist engineering roles • Excellent software engineering fundamentals • Strong Python skills • Experience building backend services, APIs, databases, and reliable production systems • Ability to independently turn ambiguous operational or engineering problems into shipped technical solutions • Strong judgment around system design, testing, reliability, and maintainability • Track record of moving quickly and taking end-to-end ownership • Strong written and verbal communication • Ability to work effectively with technical and non-technical teams • Experience building production AI- or LLM-enabled automation, including structured outputs, tool use, evaluation, monitoring, and safeguards is highly desired • Experience building developer productivity, CI/CD, release engineering, or internal tooling is highly desired • Experience with regulatory, compliance, quality, security, or other auditable workflows is highly desired • Experience building internal systems at an early-stage or rapidly scaling company is highly desired • Must be currently authorized to work in the United States without employer sponsorship
• Fully remote position
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