Fullstack Engineer

Role Overview

This role is an opportunity to build modern, AI-powered software systems that transform complex operational data into clear, actionable decision-support tools. You will work on end-to-end web applications that combine rich user interfaces with scalable backend services, enabling stakeholders to analyze scenarios, review recommendations, and interact with high-volume data in real time.

What You Will Do

Build and maintain fullstack applications using React, TypeScript, and modern backend frameworks to support decision-support and operational workflows. Design and implement data-heavy user interfaces including dashboards, tables, filters, scenario comparisons, and analytical views.

Why It Might Be a Fit

This is a high-impact position where engineering directly shapes how complex decisions are made and executed. You will work in a fast-paced, AI-native engineering culture where automation and intelligent tooling are central to delivery.

Requirements

• 7+ years of experience as a Fullstack Engineer delivering production-grade web applications end to end.
• Strong expertise in JavaScript and TypeScript with deep experience in React and modern frontend frameworks such as Next.js.
• Proven experience building and maintaining backend APIs with authentication, authorization, validation, and service integrations.
• Strong ability to design and deliver data-rich interfaces including dashboards, tables, and analytical workflows.
• Familiarity with modern UI systems such as Tailwind CSS, shadcn, or equivalent component libraries.
• Experience integrating AI-driven or model-based functionality into production applications, including asynchronous workflows and recommendation systems.
• Comfortable working in cloud-based, serverless, and CI/CD-driven environments with pragmatic DevOps responsibilities.
• Experience using AI coding tools such as Cursor or Claude Code in modern agentic development workflows.

Benefits

• Fully remote work from anywhere with global team flexibility.
• Competitive compensation including equity, bonuses, and profit-sharing opportunities.
• Long-term growth path with potential progression into senior leadership roles based on performance.
• Regular all-expenses-paid global company retreats to foster collaboration and connection.
• High-autonomy environment built on trust, ownership, and high-performance engineering culture.
• Exposure to cutting-edge AI-native engineering practices and advanced operational systems.
• Strong emphasis on learning, experimentation, and continuous improvement.