Senior AI Backend (NodeJS) Developer
About The Position
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.
Requirements
- 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.
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.
Apply for this position
Ready to join?
- Explore open roles and apply
- Talk to our HR manager
- Talk to our Head of MedOps
- Get an offer!
