Senior Fullstack JavaScript Engineer with AI skills

EPAM·Ukraine·Удалённо·2д. назад

We're looking for a Senior JavaScript/TypeScript Fullstack Engineer to build and ship production features end-to-end — from the database up through the API to the UI — while making AI-assisted development a genuine part of the daily workflow, not a side skill. You'll own real feature work on our stack (Node.js, React, PostgreSQL/Redis, AWS or other cloud) and use tools like GitHub Copilot, Cursor, or Claude Code as production instruments.

Responsibilities

  • Design, build, and ship full-stack features across the JavaScript/TypeScript stack — frontend (React, Next.js), backend (Node.js), and the database layer
  • Own tasks end to end: implementation, testing, code review, and documentation
  • Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) daily to implement tasks, generate tests, debug, and explore the codebase
  • Apply prompt engineering and context management to get reliable, on-target output from AI tools
  • Critically review AI-generated code before merging — validate correctness, check for hallucinated logic, and understand every change you ship
  • Integrate with cloud infrastructure (AWS/Azure/GCP) and third-party services as needed
  • Participate in code reviews, architecture discussions, and sprint planning
  • Debug and resolve production issues across the stack, using AI tools to accelerate root-cause analysis where useful

Requirements

  • 3+ years of professional experience as a full-stack engineer
  • Proficiency in JavaScript/TypeScript
  • Experience with Node.js and frameworks on the FE side: React, Angular
  • Experience with database systems such as PostgreSQL, Redis, or similar
  • Experience with AWS, Azure, or GCP
  • Daily production experience with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) — genuine usage habits
  • Ability to critically review AI-generated code
  • Solid prompt engineering skills: structured prompts, system vs. user prompts, clear context management
  • Strong problem-solving skills and ability to work fast and efficiently under real delivery pressure
  • Advanced English (B2+ or higher)

Nice to have

  • Knowledge of Python
  • Experience in platform engineering, observability, reliability engineering
  • System design experience
  • Experience configuring multi-step agentic workflows with multiple MCP integrations
  • Comfortable managing parallel AI agents safely (Git Worktree-based sandboxing)
  • Experience reviewing AI-generated PRs critically — spotting hallucinated logic, unnecessary changes, and scope creep
  • Skills in designing reusable prompts and multi-step agentic flows

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