Senior AI Backend (NodeJS) Developer

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.

• 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.

Requirements:

• 5 years of backend development experience using .
• 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 topk 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 youre a strong backend engineer who doesnt yet have hands-on LLM experience but is eager to learn and grow in this area wed 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.