Senior AI Backend (NodeJS) Developer

Medvidi
San Francisco, CA

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.

  • 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.
  • 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.
Posted 2025-08-20

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