AI-Assisted Full-Stack Engineer

📋 Description

• • Join a pioneering technology company at the forefront of AI-driven platform development, as they strategically transition their engineering capabilities from an external partner to a robust in-house team. This is a unique opportunity to be an integral part of shaping the future of a modern, AI-native development environment where cutting-edge automation and AI-assisted coding tools are central to building highly scalable and secure systems. As an AI-Assisted Full-Stack Engineer, you will play a pivotal role in guiding this critical transition, ensuring the integrity of the platform's architecture, bolstering its security posture, and guaranteeing its long-term stability and performance.
• • In this fully remote role, you will operate within a flexible work environment, with a focus on supporting U.S. business hours to align with client needs. Your primary responsibility will be to build and maintain a sophisticated web platform, leveraging an advanced AI-assisted development workflow. This involves a deep engagement with AI-generated code – meticulously reviewing, refining, debugging, and deploying it to ensure it meets the highest standards of quality, security, and efficiency. You will be instrumental in identifying and rectifying bugs, mitigating security vulnerabilities, and optimizing performance across the entire application stack.
• • Your contributions will directly impact the platform's reliability and maintainability, ensuring it adheres to scalable architectural patterns and best practices. You will work across both the frontend and backend, utilizing a modern TypeScript ecosystem. On the frontend, expect to work with Next.js, embracing its advanced features like the App Router, Server-Side Rendering (SSR), and React Server Components. For the backend, you will support and contribute to an architecture built with NestJS, a powerful Node.js framework. Data persistence and retrieval will involve working with PostgreSQL database systems, complemented by Redis or Valkey for efficient caching strategies. Your efforts will be crucial in building new application features, optimizing database queries, and enhancing overall system performance, thereby supporting a robust and scalable backend architecture.
• • Beyond core development, you will be involved in the deployment and infrastructure aspects of the platform. This includes maintaining CI/CD pipelines using GitHub, ensuring smooth and automated deployment processes. You will also support containerized development environments using Docker, facilitating consistency and efficiency for the engineering team. Debugging and improving production deployments will be a key area of focus, ensuring the platform remains stable and accessible to users.
• • A strong emphasis is placed on security and compliance awareness. You will be expected to adhere to SOC2-friendly engineering practices, laying the groundwork for future compliance initiatives. Implementing secure development practices, such as Row-Level Security (RLS) in the database, will be essential. You will also contribute to maintaining audit logging, robust access controls, and role-based permissions, ensuring data integrity and user security. Furthermore, you will support disciplined processes for secrets management, deployment, and change management, reinforcing the platform's security framework.
• • Success in this role is defined by your ability to facilitate the seamless transition of the platform from an external development team to an internal engineering powerhouse. You will be recognized for delivering robust, scalable, and secure AI-driven platform capabilities that directly support business objectives. Effective collaboration with cross-functional teams will be paramount, ensuring alignment and shared success. Your commitment to continuously improving system performance, security, and the overall user experience will be a hallmark of your impact. This is an exceptional opportunity to gain hands-on experience with state-of-the-art tools and workflows in an AI-native engineering landscape, contributing significantly to the architecture, reliability, and long-term scalability of a cutting-edge platform.