Senior Full Stack JavaScript / TypeScript Engineer (GenAI-assisted development, Node.js, React)

We are looking for a Senior Full Stack JavaScript 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 will 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 Review AI-generated code critically before merging — validate correctness, check for hallucinated logic, and understand every change shipped Integrate with cloud infrastructure (AWS/Azure/GCP) and third-party services as needed Participate in code reviews, architecture discussions, and sprint planning 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 React Experience with database systems such as PostgreSQL, Redis, or similar Experience with cloud platforms such as AWS, Azure, or GCP Daily production experience with AI coding assistants such as GitHub Copilot, Cursor, or Claude Code Ability to critically review AI-generated code Skills in prompt engineering: 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 Proficiency in Python Background in platform engineering, observability, and reliability engineering Understanding of system design Experience configuring multi-step agentic workflows with multiple MCP integrations Skills in managing parallel AI agents safely (Git Worktree-based sandboxing) and designing reusable prompts and multi-step agentic flows