
201 - 500 employees
Founded 2020
💼 Consulting
⚖️ Legal
📦 Logistics
💰 $15M Series A - OpenLoop Health on 2023-03
Consulting • Legal • Logistics
OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.
🔥 0 minutes ago
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201 - 500 employees
Founded 2020
💼 Consulting
⚖️ Legal
📦 Logistics
💰 $15M Series A - OpenLoop Health on 2023-03
Consulting • Legal • Logistics
OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.
• Set the technical direction for agent runtime and orchestration • Build evaluation systems, including regression tests and AI-graded evaluations • Define model access and operations, including provider routing, version upgrades, and outage planning • Own observability and cost attribution for AI systems • Build retrieval and grounding over company data • Translate human workflows into agent workflows and determine which work must remain human-led • Protect patient data and ensure security and privacy in AI systems • Make cloud and data infrastructure decisions on GCP and partner with the Data Platform team • Conduct code and design reviews and mentor engineers new to AI • Explain AI trade-offs to product, operations, and clinical stakeholders • Own AI architecture and technical quality while partnering with the AI Engineering Manager on people and delivery • Carry long-range technical direction for AI across the company until an AI Principal Engineer is hired
• 12 or more years of software engineering experience, with real technical leadership experience (tech lead, staff, or principal-level scope) • Two or more years building and running LLM-based systems in production, not just demos or personal projects • Deep, hands-on expertise in agent runtime or evaluation, plus working knowledge across the rest of the AI engineering stack • A track record of measuring AI quality with real evaluation methods and data • Experience leading a small team's technical direction from zero, or close to it • Healthcare or other regulated-industry experience (PHI, HIPAA) preferred • GCP experience preferred • Experience building an internal platform used by other engineering teams preferred • Background in classic machine learning as well as LLMs preferred • Experience scaling a team from a single pod into multiple teams preferred • Authorization to work in the location of the job posting
• Medical, Dental & Vision • Flexible Spending / Health Savings Accounts • Generous PTO • Hybrid-work flexibility • 401(k) with Company Match • Life Insurance • Pet Insurance • Competitive compensation
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