Jobs at MEDvidi

Own end-to-end frontend delivery for patient-facing, clinical, administrative, and AI-powered products. Maintain and improve a large Angular codebase and NX monorepo, contribute to architecture and performance, write tested TypeScript and RxJS code, and support framework, CI/CD, and tooling improvements. Collaborate cross-functionally from requirements through release, use agentic AI development tools, and occasionally work across SQL, backend endpoints, and API layers.

Leads an engineering track by empowering engineers, driving organizational and technical initiatives, improving collaboration with Product, and building a culture of ownership and continuous improvement. Responsibilities include managing ceremonies, hiring, onboarding, mentoring, performance management, career development, and scaling zero-to-one product initiatives. This is a people and organizational leadership role rather than a delivery management or hands-on technical authority position.

Own the company’s AWS and Kubernetes infrastructure, Infrastructure as Code, CI/CD, observability, security engineering, deployment reliability, and developer experience. Lead infrastructure strategy while remaining hands-on with Terraform, AWS CDK, GitLab, monitoring, Vault, PostgreSQL migrations, and zero-downtime operations. Partner with product engineering teams, improve platform reliability and cost efficiency, and integrate agentic AI workflows into production. The role requires strong Linux, AWS, Kubernetes, security, and distributed-team experience, plus fluent Russian and English.

Provide high-volume patient support by phone, resolve appointment and prescription requests, coordinate with providers, pharmacies, and internal teams, and manage cases through resolution. Maintain accurate CRM and EMR documentation, communicate empathetically, escalate sensitive issues, and complete operational tasks on schedule while working remotely under Pacific Time hours.

Own end-to-end frontend delivery for AI-powered healthcare products using a large Angular monorepo. Responsibilities include developing and testing features, maintaining architecture, improving performance and CI/CD, upgrading Angular, supporting NX structure, and integrating AI development tools. The role also requires occasional SQL, backend, and API work, collaboration with cross-functional teams, and building responsive patient and clinical interfaces.

Own the strategy, roadmap, execution, and outcomes for an AI Receptionist product serving healthcare patients through chat and voice. Lead cross-functional collaboration with Engineering, Clinical, Operations, and Product teams; improve AI quality through experimentation, evaluation, analytics, and user feedback; define KPIs; and ensure patient safety, privacy, and reliability in regulated healthcare workflows.

Analyze production Voice AI agent behavior using transcripts, logs, outputs, and operational data. Investigate hallucinations, failures, anomalies, and quality degradation; develop AI evaluation frameworks, monitoring systems, and dashboards; measure business and patient experience impact; and translate findings into product improvements with Product, Engineering, QA, and Operations teams.

Coordinate payer contracting, credentialing, and enrollment applications from submission through approval. Maintain enrollment and provider-readiness data, follow up with payers, resolve deficiencies, track operational metrics, and report on turnaround times and approval rates. Identify inefficient manual processes and build AI-powered workflows, automations, templates, dashboards, and documentation. Partner cross-functionally with Clinical Operations, Product, Compliance, and other teams while helping establish scalable processes in a growing telehealth organization.

Analyze production behavior of Voice AI agents, investigate hallucinations and failure modes, design AI quality evaluations, build monitoring dashboards, and measure business and patient experience impact. Partner with Product, Engineering, QA, and Operations to translate conversational data, logs, transcripts, and operational metrics into product improvements and decisions.

Analyze production Voice AI behavior, transcripts, logs, and operational data to identify failures, quality changes, and business impact. Build AI evaluation frameworks, monitoring systems, and dashboards; measure reliability, efficiency, and patient experience; and translate findings into product improvements with Product, Engineering, QA, and Operations teams.

Own the company’s infrastructure strategy, reliability, security, cost, and developer experience. Manage AWS and Kubernetes/EKS environments, Infrastructure as Code, GitLab CI/CD, observability, blue-green deployments, automated rollback, PostgreSQL migrations, secrets, Vault, and HIPAA-aware security. Partner with product engineering teams to reduce infrastructure friction, lead technical direction, and integrate agentic AI workflows into production. The role is hands-on, remote, and requires strong Linux, systems, cloud, and communication skills.

Provide phone-based support to patients, resolving appointment, prescription, and provider communication requests. Coordinate with healthcare providers, pharmacies, and internal teams; manage cases through resolution; document accurately in CRM and EMR systems; escalate sensitive issues; and complete operational tasks while maintaining empathy, professionalism, and clear communication in a high-volume remote environment.

Own and operate MEDvidi’s HIPAA security program, including risk management, remediation, administrative and technical safeguards, incident response, vendor security, policies, GRC operations, security architecture, and compliance monitoring. The role partners with IT, Privacy, Compliance, and leadership to protect ePHI, manage healthcare technology risks, coordinate penetration testing, conduct tabletop exercises, and maintain compliance with evolving HIPAA requirements.

Own frontend delivery for AI-powered mental healthcare products using a large Angular monorepo. Develop, test, and release patient-facing and internal applications; improve architecture, performance, platform health, CI/CD, and NX structure. Build interfaces for AI features and use agentic coding tools in daily development. Collaborate cross-functionally while occasionally working across SQL, backend endpoints, and APIs.

Provides phone-based support to patients regarding appointments, prescriptions, and healthcare provider communication. Coordinates cases across patients, pharmacies, providers, and internal teams; maintains accurate CRM and EMR records; resolves or escalates complex issues; and ensures timely follow-up. The role requires empathetic, professional communication, strong organization, attention to detail, and availability for remote weekend-inclusive shifts aligned with US Pacific Time.

Own the strategy, roadmap, execution, and outcomes for MEDvidi’s AI Receptionist product. Lead cross-functional collaboration across Product, Engineering, Clinical, and Operations teams; improve conversational AI through experimentation, evaluation, data analysis, and user feedback; define success metrics; and ensure patient safety, privacy, reliability, and quality in regulated healthcare workflows.

Own the strategy, roadmap, execution, and outcomes for an AI Receptionist product serving healthcare patients through chat and voice. Partner with Engineering, Clinical, and Operations teams to improve AI quality, run experiments, define KPIs, analyze performance, and deliver safe, reliable patient experiences in a regulated environment.

Lead MEDvidi’s entire product and engineering organization, including product management, engineering, design, data, and product marketing. Define and execute an AI-first product strategy, oversee multiple product tracks, drive company-level OKRs, improve execution and culture, and develop AI-powered healthcare products. The role requires executive leadership, hands-on AI product expertise, behavioral design, data-driven problem solving, and strong cross-functional management.

Analyze production Voice AI agents and conversational workflows using transcripts, logs, outputs, and operational data. Investigate hallucinations, failures, anomalies, and quality degradation; design AI evaluation frameworks, monitoring systems, and dashboards; measure business and patient-experience impact; and translate findings into product improvements while collaborating with Product, Engineering, QA, and Operations.

Provides remote, phone-based support to patients regarding appointments, prescriptions, and healthcare-provider communication. Manages cases from intake through resolution, coordinates with providers, pharmacies, and internal teams, documents interactions in CRM and EMR systems, handles escalations, and maintains accurate, empathetic communication in a high-volume environment.