Senior AI Backend

MEDvidi is looking for a Senior Backend Developer to join our AI Automation team. This role is a unique opportunity to work at the intersection of backend engineering and applied AI, designing scalable, reliable systems that power LLM-driven features in a high-impact, product-focused environment. Qualifications 5+ years of backend development experience using Node.js. Solid expertise in designing and developing scalable, high-performance backend systems. Proficiency in Russian and English. Familiarity with Amazon Web Services (AWS). Strong knowledge of LLM integration in production, with hands-on experience building real product features, not just demos or pet projects. Experience implementing and tuning RAG pipelines, including knowledge of embeddings, vector databases, top_k retrieval, ranking models, etc. Familiarity with LLM agents and orchestration tools (ideally LangGraph, but also AutoGen, SmolAgents, etc.). Understanding of the ReAct paradigm, agent roles, and agent-supervisor patterns in applied use cases. Skilled in prompt engineering with measurable quality improvements (e.g., using AI Eval frameworks). Ability to work with structured outputs from LLMs (JSON/YAML), including output validation techniques beyond prompt instructions. Good understanding of observability tools like Grafana and OpenSearch, and experience building resilient, monitored systems. Proficiency in designing and developing robust APIs. Experience with testing practices, including unit testing, integration testing, and CI/CD automation (e.g., Jest). Practical experience working with PostgreSQL, including schema design and basic performance optimization. Product-oriented mindset, committed to delivering high-quality, user-focused solutions. Experience designing and building internal tools or configuration-driven systems that enable non-technical team members (e.g., analysts, product managers) to manage application logic or content. And if you’re a strong Node.js backend engineer who doesn’t yet have hands-on LLM experience but is eager to learn and grow in this area, we’d still love to hear from you Nice to have Skilled in prompt engineering with measurable quality improvements (e.g., using AI Eval frameworks). Benefits Insurance after the probationary term. Sports compensation. Remote work on a B2B basis. 19 working days of vacation per year. 4 additional wellness days per year. Paid sick leave for the first 5 working days. Gifts to employees for important events. Career Development. Personalized English lessons. Responsibilities Design and build backend architecture for AI-powered automation systems, focusing on performance, scalability, and resilience. Integrate and scale LLM-based product features, working closely 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 LLM 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 promote engineering excellence. Maintain high-quality technical documentation for newly-designed systems and APIs to ensure clarity and knowledge sharing within the team. Collaborate with cross-functional teams to align backend systems with product goals and user needs. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at MEDvidi by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr