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

We're seeking a Lead Full Stack JavaScript Engineer to deliver production-ready features across the entire stack — spanning database, API, and UI layers — and to integrate AI-assisted development as a core part of daily work rather than a peripheral skill. You'll take ownership of feature development on our technology stack (Node.js, React, PostgreSQL/Redis, AWS or other cloud), leveraging tools such as GitHub Copilot, Cursor, or Claude Code as everyday production tools. Responsibilities Design, build, and ship full stack features across the JavaScript/TypeScript stack — frontend (React, Next.js), backend (Node.js), and the database layer Take full ownership of tasks from implementation through testing, code review, and documentation Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) on a daily basis to implement tasks, generate tests, debug, and explore the codebase Utilize prompt engineering and context management techniques to achieve reliable, targeted output from AI tools Critically evaluate AI-generated code prior to merging — confirm correctness, identify hallucinated logic, and fully understand every shipped change Connect with cloud infrastructure (AWS/Azure/GCP) and third-party services as required Engage in code reviews, architecture discussions, and sprint planning sessions Troubleshoot production issues across the stack, leveraging AI tools to speed up root-cause analysis when applicable Requirements 6+ years of hands-on experience as a full stack engineer 1+ years of relevant leadership experience Strong command of JavaScript/TypeScript Experience with Node.js and React Familiarity with database systems including PostgreSQL, Redis, or comparable technologies Hands-on work with cloud platforms like AWS, Azure, or GCP Regular, hands-on use of AI coding assistants such as GitHub Copilot, Cursor, or Claude Code in production settings Capacity to critically assess AI-generated code Expertise in prompt engineering: crafting structured prompts, distinguishing system vs. user prompts, and managing context clearly Solid problem-solving abilities paired with the capacity to work quickly and effectively under genuine delivery pressure Advanced English proficiency (B2+ or higher) Nice to have Working knowledge of Python Experience in platform engineering, observability, and reliability engineering Familiarity with system design principles Hands-on experience setting up multi-step agentic workflows involving multiple MCP integrations Capability to safely manage parallel AI agents (using Git Worktree-based sandboxing) and to design reusable prompts along with multi-step agentic flows