Senior AI-Native Software Engineer – Full Stack (React, Next.js, Node.js)

the.good.code; is a software house with a team of 25 professionals distributed across three countries. They focus on long-term projects and believe in ownership, strong collaboration with clients, and quality software with business impact. Their approach starts with understanding the business problem, using AI as an engineering tool, and aiming for long-term collaboration with curious and motivated people.

• 5+ years of commercial experience building web applications
• Experience with JavaScript, TypeScript, React, Next.js, and backend development using Node.js
• Experience building reusable AI workflows, prompts, skills, or agentic solutions
• Understanding of concepts such as MCP (Model Context Protocol), tool integrations, or multi-agent workflows
• Ability to translate business requirements into scalable technical solutions
• Understanding of software architecture and scalable system design
• Ability to review and validate AI-generated code rather than relying on it blindly
• Product mindset with understanding of business context behind features
• Ability to work independently, manage priorities, and switch context when needed
• Critical thinking, ownership, and proactive attitude
• Advanced English communication skills

Nice to have:

• Experience building AI-powered developer tools or internal engineering platforms
• Familiarity with Playwright or other automated testing frameworks
• Contributions to open-source projects or active participation in technical communities
• Willingness to travel occasionally for client workshops

• Working in clients' teams as an equal team member
• Building and developing frontend and backend features using React, Next.js, TypeScript, and Node.js
• Designing application architecture, reusable modules, and integration patterns
• Translating business requirements into clear technical specifications for AI coding agents
• Using AI coding agents (Claude, Codex) as part of daily engineering workflow
• Reviewing, validating, and improving AI-generated code
• Building and improving AI-assisted engineering workflows, including reusable skills, prompts, and testing practices
• Contributing to software quality through automated testing, code reviews, and AI-assisted validation
• Taking ownership of technical solutions within area of responsibility
• Sharing knowledge and helping grow AI engineering practices within the the.good.code; community