This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
Our client is a forward-thinking technology company focused on building AI-driven platforms. As part of their next stage of growth, they are transitioning development from an external development partner to an in-house engineering team. The company operates in an AI-native development environment where modern engineering practices, automation, and AI-assisted coding tools play a central role in building scalable and secure systems. They are seeking an engineer who can help guide this transition while ensuring strong architecture, security, and long-term platform stability.
Fully Remote (Work from Home) | Flexible Hours (CST-friendly)
The AI-Assisted Full Stack Engineer will help build and maintain a modern web platform while operating within an AI-assisted development workflow. This role focuses on reviewing, directing, debugging, and deploying AI-generated code while ensuring strong system architecture, security practices, and scalability. The engineer will work across both frontend and backend systems using a modern TypeScript stack and will play an important role in maintaining performance, reliability, and production stability.
Review, refine, debug, and deploy AI-generated code
Identify bugs, security vulnerabilities, and performance issues
Improve the reliability and maintainability of the platform
Ensure the system follows scalable architectural patterns
Work within a modern TypeScript stack, including Next.js (App Router, SSR, React Server Components)
Support backend architecture built with NestJS
Work with PostgreSQL database systems and Redis/Valkey caching
Build and maintain application features
Improve database queries and overall system performance
Support scalable backend architecture
Maintain CI/CD pipelines using GitHub
Support containerized development environments using Docker
Assist with debugging and improving production deployments
Follow SOC2-friendly engineering practices to support future compliance processes
Implement secure development practices, including Row-Level Security (RLS)
Support audit logging, access controls, and role-based permissions
Implement secrets management and disciplined deployment and change management processes
Approximately 3–5 years of professional software engineering experience
Experience with full-stack TypeScript development
Experience working with Next.js or similar modern frontend frameworks
Experience with Node.js backend frameworks (NestJS preferred)
Strong familiarity with PostgreSQL
Experience using Git and GitHub workflows
Experience using AI coding tools as part of a development workflow
Experience with Redis/Valkey is a plus
Experience with Docker or containerized development environments is a plus
Experience with telephony, SIP, or WebRTC is a plus
Experience integrating Stripe or billing systems is a plus
Knowledge of ClickHouse or columnar analytics databases is a plus
Experience with DigitalOcean infrastructure is a plus
Strong debugging and problem-solving abilities
Ability to review, guide, and improve AI-generated code while maintaining system quality
Focus on system outcomes, reliability, and scalability
Strong understanding of secure development practices and architectural patterns
Ability to collaborate effectively within a cross-functional team environment
Comfort working in an AI-native engineering environment where code generation is heavily supported by AI tools
Successfully transitioning the platform from an external development team to an internal engineering team
Delivering robust, scalable, and secure AI-driven platform capabilities
Collaborating effectively with cross-functional teams to support business goals
Continuously improving system performance, security, and overall user experience
This role offers the opportunity to play a key role in shaping the future of a modern AI-driven platform while working with an engineering team embracing AI-native development practices. The AI-Assisted Full Stack Engineer will contribute directly to platform architecture, reliability, and long-term scalability while gaining hands-on experience with cutting-edge tools and workflows.
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