Backend engineer in AI automation

MEDvidi is an AI-powered mental healthcare clinic setting a new standard for safe, effective, and scalable psychiatric care in the United States. We combine licensed providers with proprietary AI tools to deliver consistent, outcomes-driven treatment for conditions like ADHD, anxiety, depression, and more. MEDvidi's technology automates charting, follow-ups, and treatment planning, freeing providers to focus on patient care while improving efficiency and clinical quality. We're looking for a Senior Backend (NodeJS) Engineer to join our AI Automation team and lead the development of AI-driven integrations within our telemedicine platform.

• Design and build backend architecture for AI-powered automation systems, with a focus on performance, scalability, and resilience.
• Integrate and scale LLM-based product features in close collaboration with AI engineers and product teams.
• Implement and evolve agent-based systems (e.g., ReAct, supervisor-agent models) supporting complex decision-making flows.
• Optimize Retrieval-Augmented Generation (RAG) pipelines and context enrichment using structured and unstructured data.
• Develop robust APIs for internal services and external integrations.
• Ensure strong observability, monitoring, and alerting practices using tools like Grafana and OpenSearch.
• Participate in code reviews, contribute to architecture discussions, and maintain high-quality technical documentation for newly designed systems and APIs.

• 8+ years of commercial backend development with Node.js in product companies (preferably SaaS), with deep understanding of complex backend systems end-to-end.
• Strong experience designing backend architectures and technical solutions, including system decomposition, scalability trade-offs, long-term maintainability, and technology choices.
• Proven track record building scalable, high-performance backend systems and robust APIs, with solid understanding of data flows, failure modes, and performance bottlenecks.
• Hands-on experience integrating LLMs into production systems (not demos), with focus on reliability, predictability, cost control, and measurable quality improvements.
• Experience designing and implementing multi-agent AI workflows in production, including orchestration logic, ReAct patterns, supervisor-agent architectures, and clear understanding of when such approaches are justified.
• Practical experience with modern AI frameworks
• Solid experience designing and optimizing RAG pipelines: embeddings, vector databases, retrieval strategies, ranking, chunking, and quality vs. latency trade-offs.
• Strong prompt engineering skills, including structured outputs (JSON/YAML), schema validation, evaluation-based iteration (e.g., AI eval frameworks), and reliability techniques beyond prompt-only solutions.
• Understanding of LLM infrastructure in production environments: tracing and observability (LangSmith, Langfuse, or similar), evaluation frameworks and quality metrics, tooling and orchestration, safety mechanisms and guardrails, performance and cost optimization.
• Hands-on experience with PostgreSQL (schema design, migrations, performance optimization) and AWS (CDK, Lambda, API Gateway, ElastiCache).
• Good understanding of observability and debugging (Grafana, OpenSearch, or similar).
• Strong engineering culture: testing, CI/CD, reliability, and technical ownership.
• Product-oriented mindset with the ability to build user-centered automation, not isolated technical components.
• Proactive AI enthusiast mindset: explores and validates new AI approaches and patterns applicable to product use cases.
• Fluent Russian; English B2+.
• Будет плюсом: Experience working with medical/healthcare AI or regulated environments; Experience with MCP (Model Context Protocol) in Node.js

• A chance to contribute to a product-driven company in the medical tech space.
• Clear growth opportunities and a competitive compensation package.
• Fully remote long-term collaboration under a B2B model.
• Health insurance after the probation period, plus sports and wellness compensation.
• Personalized English lessons via Preply and clear growth paths.
• 19 paid vacation days annually, 4 additional wellness days each year, and paid sick leave for the first 5 working days.
• Thoughtful gifts for key life events and offline corporate events.