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ES

Lead Full-Stack Engineer (AI-Driven Systems)

EPAM Systems
πŸ‡¦πŸ‡² Armenia | ❀️🀍❀️ Belarus | πŸ‡°πŸ‡¬ Kyrgyzstan | πŸ‡°πŸ‡Ώ Kazakhstan | πŸ‡ΊπŸ‡Έ United States | πŸ‡ΊπŸ‡Ώ Uzbekistan
remote
staff_principal
4 weeks ago
  • AI
  • System Design
  • React.js
  • Next.js
  • Node.js
  • TypeScript
  • CI/CD
  • Devops
  • Data Modeling
  • Event-Driven Architecture
  • AWS
  • SQL
  • NoSQL
  • Docker
  • LangGraph
  • MCP
  • Kubernetes
  • Terraform
  • CloudFormation
  • OAuth2
  • OIDC
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We are looking for aLead Full-Stack Engineer with deep expertise in AI-enabled systems to take ownership of architecture, engineering standards, and delivery of complex, production-grade applications. This role requires hands-on leadership, strong system design skills, and the ability to integrate advanced AI capabilities into scalable products.

Responsibilities

  • Own end-to-end architecture of full-stack applications (React, Next.js, Node.js, TypeScript)
  • Lead design and implementation of AI-powered features including LLM integrations and agent-based workflows
  • Define and enforce engineering standards, code quality and best practices
  • Design robust CI/CD pipelines and DevOps processes
  • Drive system design decisions across authentication, data modeling, caching and event-driven architecture
  • Mentor engineers and lead code reviews
  • Collaborate with product and business stakeholders to translate requirements into technical solutions

Requirements

  • 7+ years of full-stack development experience
  • Expert-level proficiency in TypeScript, React, Node.js
  • Strong experience designing distributed and scalable systems on AWS
  • Deep experience with SQL/NoSQL databases and data modeling
  • Proven experience designing and deploying AI-powered systems (LLMs, AI agents, automation workflows)
  • Experience with Docker and CI/CD pipelines
  • Experience with agentic systems and orchestration frameworks (e.g. LangGraph, PydanticAI)
  • Strong understanding of prompt engineering, context management and evaluation pipelines
  • Experience building MCP-based integrations or similar tool ecosystems
  • Familiarity with AI observability, tracing and model evaluation tools

Nice to have

  • Kubernetes, Terraform or CloudFormation
  • Experience with enterprise identity (OAuth2, OIDC)
  • Experience building internal platforms or developer tools

Lead Full-Stack Engineer (AI-Driven Systems) Β· EPAM Systems

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