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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable backend architectures for AI-powered automation systems, with a strong focus on integrating LLMs and optimizing RAG pipelines. Proficient in developing robust APIs and ensuring observability and monitoring using industry-standard tools.
Highest-signal resume keywords
Node.js Backend DevelopmentLLM Integration ExperienceRAG Pipeline OptimizationAPI DevelopmentObservability with Grafana
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Architecture DesignSystem DecompositionPrompt EngineeringMulti-Agent AI WorkflowsPostgreSQLAWS CDKAWS LambdaAPI GatewayElastiCacheModern AI Frameworks
Soft Skills
Product-Oriented MindsetProactive AI Enthusiast
Tools & Technologies
GrafanaOpenSearch
Industry Keywords
Healthcare AIRegulated EnvironmentsSaaS
Tech Stack
Tools & technologiesAWSGrafanaJavaScriptNode.jsPostgresReact
About the role
Key responsibilities & impact- Design and build backend architecture for AI-powered automation systems
- Integrate and scale LLM-based product features with AI engineers and product teams
- Implement and evolve agent-based systems, including ReAct and supervisor-agent models
- Optimize RAG pipelines and context enrichment using structured and unstructured data
- Develop robust APIs for internal services and external integrations
- Ensure observability, monitoring, and alerting using tools such as Grafana and OpenSearch
- Participate in code reviews and architecture discussions
- Maintain high-quality technical documentation for newly designed systems and APIs
- Collaborate with AI engineers, product teams, and cross-functional stakeholders
- Build production-grade systems automating clinical and operational workflows
Requirements
What you’ll need- 8+ years of commercial backend development with Node.js in product companies, preferably SaaS
- Deep understanding of complex backend systems end-to-end
- Experience designing backend architectures and technical solutions
- Experience with system decomposition, scalability trade-offs, long-term maintainability, and technology choices
- Track record building scalable, high-performance backend systems and robust APIs
- Understanding of data flows, failure modes, and performance bottlenecks
- Hands-on experience integrating LLMs into production systems
- Experience designing and implementing multi-agent AI workflows in production
- Practical experience with modern AI frameworks
- Experience designing and optimizing RAG pipelines, including embeddings, vector databases, retrieval strategies, ranking, chunking, and quality-versus-latency trade-offs
- Strong prompt engineering skills, including structured outputs, schema validation, evaluation-based iteration, and reliability techniques
- Understanding of LLM infrastructure in production, tracing, observability, evaluation frameworks, quality metrics, safety mechanisms, guardrails, and performance/cost optimization
- Hands-on experience with PostgreSQL and AWS, including CDK, Lambda, API Gateway, and ElastiCache
- Good understanding of observability and debugging, including Grafana and OpenSearch or similar
- Testing, CI/CD, reliability, and technical ownership
- Product-oriented mindset
- Proactive AI enthusiast mindset
- Fluent Russian
- English B2+
- Experience with medical/healthcare AI or regulated environments is a plus
- Experience with MCP in Node.js is a plus
Benefits
Comp & perks- Competitive compensation package
- Fully remote long-term collaboration under a B2B model
- Health insurance after the probation period
- Sports and wellness compensation
- Personalized English lessons via Preply
- Clear growth paths
- 19 paid vacation days annually
- 4 additional wellness days each year
- Paid sick leave for the first 5 working days
- Thoughtful gifts for key life events
- Offline corporate events