Senior Backend Engineer, NodeJS

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

📋 Description

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

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

• Implement and advance agent-based systems that facilitate complex decision-making processes.

• Optimize RAG pipelines and context enhancement 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 architectural discussions.

• Maintain comprehensive technical documentation for newly developed systems and APIs.

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

• Construct production-quality systems that automate clinical and operational workflows for a telemedicine platform.

⛳️ Requirements

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

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

• Extensive experience in designing backend architectures and technical solutions.

• Experience in system decomposition, scalability considerations, long-term maintainability, and technology selection.

• Demonstrated success in building scalable, high-performance backend systems and reliable APIs.

• Knowledge 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 settings.

• Hands-on experience with contemporary AI frameworks.

• Experience in designing and optimizing RAG pipelines, including embeddings, vector databases, retrieval methods, ranking, and chunking.

• Strong skills in prompt engineering, including structured outputs, schema validation, and iterative evaluation.

• Understanding of LLM infrastructure in production settings, tracing, observability, evaluation frameworks, safety mechanisms, guardrails, and cost optimization.

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

• Good knowledge of observability and debugging tools, including Grafana and OpenSearch or similar.

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

• Product-oriented mindset.

• Proactive enthusiasm for AI.

• Fluent in Russian.

• Proficient in English (B2 level).

• Experience in medical/healthcare AI or regulated environments is an advantage.

• Familiarity with MCP in Node.js is a plus.

🏝️ Benefits

• Competitive compensation package.

• Health insurance after the probation period.

• Sports and wellness compensation.

• Personalized English lessons via Preply.

• Clear growth trajectories.

• 19 paid vacation days per year.

• 4 additional wellness days annually.

• Paid sick leave for the first 5 working days.

• Thoughtful gifts for significant life events.

• Offline corporate gatherings.

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