Senior/Lead Fullstack JavaScript Engineer with AI skills

We are looking for aSenior/Lead Fullstack JavaScript Engineer with AI skills 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

• 5+ 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 with platform engineering, observability, and/or 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