Jobs at MEDvidi

Design and scale Node.js backend systems powering AI-driven clinical and operational automation. Build LLM integrations, multi-agent workflows, RAG pipelines, APIs, and production-grade observability. Optimize reliability, performance, cost, and quality while collaborating with AI engineers, product teams, and stakeholders. Contribute to architecture, testing, documentation, code reviews, and technical ownership across a remote telemedicine platform.

Design and scale backend systems for AI-powered automation in a telemedicine platform. Responsibilities include integrating production LLM features, building multi-agent workflows and RAG pipelines, developing robust APIs, optimizing performance and reliability, and implementing observability with Grafana and OpenSearch. The role also involves architecture, code reviews, documentation, testing, CI/CD, and collaboration with AI, product, and cross-functional teams.

Design and scale backend systems for AI-powered automation in a telemedicine platform. Build LLM integrations, multi-agent workflows, RAG pipelines, APIs, and production-grade services with strong reliability, observability, performance, and cost controls. Collaborate with AI engineers, product teams, and stakeholders on architecture, testing, documentation, and technical ownership.

Design and scale Node.js backend systems powering AI-driven clinical and operational automation. Build robust APIs, integrate production LLM features, implement multi-agent workflows and RAG pipelines, and optimize reliability, performance, cost, and quality. Own observability through monitoring and tracing, contribute to architecture and code reviews, and document systems. Collaborate with AI engineers, product teams, and stakeholders to deliver scalable, user-centered telemedicine automation.

Design and scale Node.js backend systems powering AI-driven automation for a telemedicine platform. Build robust APIs, integrate production LLM features, implement multi-agent workflows and RAG pipelines, and optimize reliability, performance, observability, quality, and cost. Collaborate with AI engineers and product teams, contribute to architecture and code reviews, document systems, and maintain strong testing and CI/CD practices.

Own end-to-end product design for AI-powered clinical tools, including provider workflows, patient portals, and operational systems. Design human-AI interactions for reviewing, editing, accepting, and rejecting model outputs. Gather requirements independently, validate solutions with users, collaborate with engineering through release, and contribute reusable Storybook components, tokens, and documentation. Build functional prototypes in code using Claude Code, Cursor, or equivalent AI tools.

Own end-to-end product design for MEDvidi’s AI Track, creating human-AI interaction patterns for clinical tools. Gather requirements independently, conduct user validation, prototype in code using Claude Code or Cursor, contribute reusable Storybook design-system components, and partner with product and engineering teams through release. The role focuses on complex provider-facing systems, AI-generated clinical outputs, and regulated healthcare workflows.

Own end-to-end product and operational analytics for AI-powered and conventional automation features. Analyze workflows, logs, transcripts, and generated outputs; identify failures and quality degradation; design AI evaluations and human review processes; build monitoring and dashboards; measure adoption, experiments, business impact, and operational risk. Partner with Product, Engineering, Clinical, MedOps, and Legal teams to turn ambiguous data into actionable decisions.

Own end-to-end product and operational analytics for AI-powered and conventional automation features. Analyze production behavior, funnels, adoption, experiments, failures, hallucinations, and quality degradation. Design automated and human AI evaluations, build monitoring and dashboards, measure business and operational impact, and turn complex findings into actionable recommendations for Product, Engineering, Clinical, MedOps, and Legal teams.

Owns end-to-end product and operational analytics for AI-powered and conventional automation features. Responsibilities include experiment design, funnel and adoption analysis, AI output evaluation, hallucination and failure investigation, monitoring, dashboards, and measuring business impact. The role partners with Product, Engineering, Clinical, MedOps, and Legal, using SQL and Python to analyze messy production data and translate findings into decisions.

Own end-to-end product and operational analytics for AI-powered and conventional automation features. Analyze workflows, logs, transcripts, and generated outputs to identify failures, quality degradation, adoption patterns, and business impact. Design AI evaluations, human review processes, monitoring, dashboards, and experiments, then translate findings into product and engineering improvements. Partner with Product, Engineering, Clinical, MedOps, and Legal in an ambiguous, fast-moving medical technology environment.

Own end-to-end product design for MEDvidi’s AI Track, creating human-AI interaction patterns for clinical tools such as AI Scribe, Chart Review, and AI Receptionist. Gather requirements independently, research provider needs, prototype directly in code using Claude Code or Cursor, collaborate with product and engineering, contribute reusable Storybook components and design-system documentation, validate designs, and guide solutions through release.

Own end-to-end product design for MEDvidi’s AI Track, creating human-AI interaction patterns for clinical tools such as AI Scribe, Chart Review, and AI Receptionist. Gather requirements independently, conduct user validation, prototype directly in code using AI tools, contribute reusable Storybook design-system components, and partner with product and engineering teams through release and post-launch improvement.

Owns end-to-end frontend delivery for AI-powered healthcare products, including patient applications and clinician tools. Responsibilities include developing and stabilizing a large Angular codebase, designing scalable architectures, writing tested TypeScript and RxJS code, improving performance and CI/CD, contributing to Nx monorepo health, building AI-powered interfaces, and integrating agentic AI into development workflows. The role also requires product ownership, UX judgment, backend collaboration, fluent Russian, intermediate English, and CET availability.

Own end-to-end product design for MEDvidi’s AI Track, creating human-AI interaction patterns for clinical tools. Gather requirements independently, conduct user analysis and validation, prototype directly in code using Claude Code or Cursor, collaborate with product and engineering, accept delivered designs, analyze outcomes, and contribute reusable Storybook design-system components, tokens, and documentation.

Own end-to-end product design for MEDvidi’s AI-powered clinical tools, creating human-AI interaction patterns for providers reviewing and editing model outputs. Gather requirements independently, conduct user validation, prototype in code using Claude Code or Cursor, contribute reusable Storybook design-system components, and partner with product and engineering teams through release and post-launch analysis.

Own end-to-end product design for MEDvidi’s AI-powered clinical tools, including provider workflows, patient portals, and operational systems. Design human-AI interactions for reviewing, accepting, editing, and rejecting model outputs. Gather requirements independently, validate designs with users, collaborate with engineering through release, and contribute reusable Storybook components, tokens, and documentation. Build functional prototypes in the codebase using Claude Code, Cursor, or similar AI tools.

Own end-to-end product design for MEDvidi’s AI Track, designing provider-facing clinical tools and patient systems. Develop human-AI interaction patterns, gather requirements independently, validate designs, collaborate with product and engineering, conduct design acceptance, and analyze post-release outcomes. Build functional prototypes in the existing codebase using AI tools, and contribute reusable Storybook components, tokens, and documentation to the design system. The role requires hands-on work in complex interfaces and regulated healthcare environments.

Leads an engineering track with emphasis on organization-wide technical and process improvements, autonomous teams, people development, hiring, performance management, and AI-agent adoption. Partners with product managers to deliver reliable, intuitive user experiences. This role focuses on enabling engineers and driving measurable organizational change rather than coding, architecture ownership, delivery management, or sprint oversight.

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.