As a Product Engineer with a backend focus, you will bridge technical execution and product strategy in an environment where AI enhances, but never replaces, thoughtful engineering. Your work will center on building robust backend systems using JavaScript, TypeScript, and Node.js, while actively integrating AI tools like GitHub Copilot, Cursor, and LLM-based assistants into your workflow—always with an eye on architectural integrity and long-term maintainability.
What You'll Do
- Design and develop backend services that power scalable, reliable applications
- Use AI-assisted development tools to accelerate coding while upholding code quality and system design principles
- Turn strategic business goals into functional prototypes and production-ready solutions
- Take ownership of technical decisions, especially in ambiguous or evolving project contexts
- Help refine engineering practices to adapt to AI-accelerated development cycles
- Deliver solutions for high-impact clients across the United States and Europe
Requirements
- Proven experience building backend systems with JavaScript, TypeScript, and Node.js
- Demonstrated ability to move beyond task execution and contribute to product-level thinking
- Hands-on experience using AI coding assistants in real-world development workflows
- Strong command of English and comfort collaborating remotely
- Commitment to testing, QA, and stable release processes—even under tight timelines
- Passion for evolving how software teams build, especially with emerging AI tools
Preferred Qualifications
- Experience applying AI-first methodologies in product development
- History of improving engineering efficiency or delivery practices
- Self-directed work style with confidence in leading technical direction
Benefits
- Fully remote work with flexibility to support your personal and professional rhythm
- Professional growth opportunities in a certified Great Place to Work environment
- Meaningful involvement in international projects with global clients
- Inclusive culture that values innovation, autonomy, and continuous learning
- Work processes designed around sustainable productivity, not burnout
