Teams at MEDvidi

Design and scale Node.js backend systems powering AI-driven clinical and operational automation. Integrate production LLM features, multi-agent workflows, and RAG pipelines; build robust APIs and optimize reliability, performance, observability, and costs. Collaborate with AI engineers and product teams, contribute to architecture and code reviews, and document systems. The role requires strong backend architecture, PostgreSQL and AWS experience, production AI integration expertise, and fluent Russian with B2+ English.

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.