AI-Augmented Senior Fullstack Engineer

Summary

Join our team as a Fullstack Developer who is passionate about leveraging AI in software development. You will utilize AI coding tools to build and maintain applications, focusing on backend services using Node.js and Fastify, and frontend development with React. Responsibilities include prototyping AI-powered features, collaborating with cross-functional teams, and ensuring code quality through reviews. You will also contribute to SRE practices, CI/CD automation, and work closely with data engineering. Deployment and management of applications on cloud platforms like DigitalOcean or AWS are also expected. This role requires experience with AI-assisted development and a strong understanding of backend architecture and frontend engineering.

Requirements

• You’ve built production applications using AI-assisted development environments
• You think in workflows and prompts, not just functions and syntax
• Proven experience with Node.js , Fastify , and React
• Hands-on with tools like Cursor , Claude Code , Copilot , or similar AI coding platforms
• Solid understanding of backend architecture, API design, and frontend engineering
• Comfortable deploying cloud applications and working with CI/CD pipelines
• Experience with SQL/NoSQL databases, caching layers (e.g. Redis), and testing best practices

Responsibilities

• Use AI coding tools (e.g., Cursor, Claude Code, Copilot) to build a fully functional application on both backend and front end
• Design, develop, and maintain robust and scalable backend services using Node.js and Fastify
• Rapidly prototype and launch AI-powered features
• Collaborate with cross-functional teams to define user experiences enhanced by AI
• Write clean, production-ready code that works seamlessly with AI-generated components, and yet understands the responsibility of reviewing and owning the code that is generated by AI models
• Participate in code reviews (both human and AI-assisted) and promote quality standards
• Maintain and evolve backend services and REST APIs; implement caching, versioning, and scalability patterns
• Contribute to SRE practices, observability, and CI/CD automation
• Work closely with data engineering to access, transform, and use data for model prompts or fine-tuning
• Deploy and manage apps on DigitalOcean , AWS , or similar platforms

Preferred Qualifications

• Experience with Python or NestJS is a plus
• The ability to let AI do the heavy lifting while you guide the architecture and logic

Benefits

• Remote-first work environment
• Full medical insurance
• 30 days of annual leave
• 60 hours of personal time/year
• 15 public holidays
• Unlimited paid sick leave
• Maternity time off
• Work equipment provided
• Gym compensation
• Paid training and professional development