Senior Backend (NodeJS) Engineer

MEDvidi, Inc.; Grand Est; Remote; EUR 126,000 - 188,000; Full time

Benefits offered by this job

Health insurance after probation

Sports and wellness compensation

English lessons via Preply

Paid vacation and wellness days

Job summary

MEDvidi, Inc. is seeking a Senior Backend (NodeJS) Engineer to lead AI-driven integrations within its telemedicine platform.

You will design and scale backend systems that connect our core product with AI services, improving how thousands of patients and providers interact with MEDvidi every day. You'll work at the intersection of backend engineering and applied AI, building production-grade systems that automate clinical workflows, from multi-agent orchestration to RAG pipelines.

Qualifications

• 8+ years of commercial backend development with Node.js in SaaS/product companies.
• Experience designing scalable backend architectures and APIs with data flows and performance tuning.
• Hands-on experience integrating LLMs into production systems with reliability and cost controls.
• Proven work on multi-agent AI workflows, ReAct patterns, and supervisor-agent models.
• Experience with RAG pipelines, embeddings, vector databases, and retrieval strategies.
• Strong prompts engineering, structured outputs, and schema validation.
• Familiarity with production LLM infrastructure: tracing, evaluation metrics, safety.Automation.

Responsibilities

• Design and build backend architecture for AI-powered automation systems.
• Integrate and scale LLM-based product features with AI engineers and product teams.
• Develop agent-based systems supporting complex decision-making flows.
• Optimize RAG pipelines and context enrichment with structured data.
• Create robust internal/external APIs and ensure strong observability.

Skills

Node.js

Backend architecture

LLMs integration

Observability

PostgreSQL

AWS CDK

Tools

LangSmith

Langfuse

Grafana

OpenSearch

API Gateway

Job description

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. You will design and scale the backend systems that connect our core product with AI services, directly improving how thousands of patients and providers interact with MEDvidi every day.You'll work at the intersection of backend engineering and applied AI, building production-grade systems that automate clinical and operational workflows. You'll collaborate closely with AI engineers, product teams, and cross-functional stakeholders to ship reliable, scalable automation, from multi-agent orchestration to RAG pipelines.Requirements: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 frameworksSolid 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+.Would be a plusExperience working with medical/healthcare AI or regulated environments.Experience with MCP (Model Context Protocol) in Node.js.Responsibilities: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.What we offer:High-impact environment: A chance to contribute to a product-driven company in the medical tech space.Growth & compensation: Clear growth opportunities and a competitive compensation package.Remote-first: Fully remote long-term collaboration under a B2B model.Health & wellness: Health insurance after the probation period, plus sports and wellness compensation.Career development: Personalized English lessons via Preply and clear growth paths.Time off: 19 paid vacation days annually, 4 additional wellness days each year, and paid sick leave for the first 5 working days.Culture: Thoughtful gifts for key life events and offline corporate events.Ready to make an impact? Send us your profile, let's build something meaningful together.MEDvidi is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.