Senior Backend Engineer, NodeJS

This is a fully remote position, open to applicants in Georgia.

📋 Description

• Design and develop backend architecture for AI-driven automation systems.

• Collaborate with AI engineers and product teams to integrate and scale LLM-based product features.

• Implement and enhance agent-based systems, including ReAct and supervisor-agent models.

• Optimize RAG pipelines and enrich context using both structured and unstructured data.

• Create robust APIs for internal services and external integrations.

• Ensure observability, monitoring, and alerting through tools such as Grafana and OpenSearch.

• Engage in code reviews and participate in architecture discussions.

• Maintain high-quality technical documentation for newly developed systems and APIs.

• Construct production-grade systems that automate clinical and operational workflows.

• Work closely with AI engineers, product teams, and cross-functional stakeholders.

⛳️ Requirements

• Over 8 years of commercial backend development experience with Node.js in product-focused companies, preferably SaaS.

• Profound understanding of complex backend systems from end to end.

• Proven experience in designing backend architectures and technical solutions, including system decomposition, scalability considerations, long-term maintainability, and technology selection.

• Demonstrated ability to build scalable, high-performance backend systems and robust APIs.

• Strong comprehension of data flows, failure modes, and performance bottlenecks.

• Practical experience in integrating LLMs into production systems.

• Experience in designing and executing multi-agent AI workflows in production, including orchestration logic, ReAct patterns, and supervisor-agent architectures.

• Hands-on experience with contemporary AI frameworks.

• Background in designing and optimizing RAG pipelines, focusing on embeddings, vector databases, retrieval strategies, ranking, chunking, and quality vs. latency trade-offs.

• Proficient in prompt engineering skills, including structured JSON/YAML outputs, schema validation, evaluation-based iteration, and reliability techniques.

• Awareness of LLM infrastructure in production, including tracing and observability, evaluation frameworks, quality metrics, safety mechanisms, guardrails, performance optimization, and cost management.

• Hands-on experience with PostgreSQL and AWS, including CDK, Lambda, API Gateway, and ElastiCache.

• Good understanding of observability and debugging using Grafana, OpenSearch, or similar tools.

• Strong engineering culture emphasizing testing, CI/CD, reliability, and technical ownership.

• Product-oriented mindset with a focus on user-centered automation.

• Proactive enthusiasm for AI developments.

• Fluent in Russian.

• Proficient in English at B2 level.

• Experience in medical/healthcare AI or regulated environments is a plus.

• Familiarity with MCP (Model Context Protocol) in Node.js is a plus.

🏝️ Benefits

• Competitive compensation package.

• Health insurance available after the probation period.

• Sports and wellness compensation offered.

• Personalized English lessons provided through Preply.

• Clear paths for growth and advancement.

• 19 paid vacation days each year.

• 4 additional wellness days annually.

• Paid sick leave for the first 5 working days.

• Thoughtful gifts for significant life events.

• Offline corporate events organized.

• Fully remote long-term collaboration under a B2B model.