
Product Frontend Engineer, AI
dentsu Austria
full-time
Posted on:
Location Type: Hybrid
Location: Remote • Colorado • United States
Visit company websiteExplore more
Salary
💰 $136,000 - $180,000 per year
Tech Stack
About the role
- Build and ship user-facing features from concept through production
- Partner with product and design to shape workflows, interactions, and technical approaches
- Contribute to frontend architecture and technical decision-making
- Collaborate with backend and AI teams to integrate APIs and data services
- Write clean, maintainable, well-tested code
- Ensure strong performance, accessibility, and reliability
- Use AI tools thoughtfully to improve development efficiency
- Engage in technical discussions and contribute ideas that improve outcomes
Requirements
- 4–7+ years building modern web applications in product or data-rich environments
- Experience owning features end-to-end and contributing to technical direction
- Strong proficiency in JavaScript/TypeScript, HTML, and modern CSS
- Experience with React, Next.js, or similar frameworks
- Solid understanding of frontend architecture, state management, and performance
- Experience integrating APIs and working with complex data flows
- Strong collaboration and communication skills
- Comfort working in fast-moving, ambiguous environments
- Experience using AI coding assistants and evaluating generated code
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaScriptTypeScriptHTMLCSSReactNext.jsfrontend architectureAPI integrationstate managementperformance optimization
Soft Skills
collaborationcommunicationproblem-solvingadaptabilitytechnical decision-makingworkflow shapingengagement in technical discussionsidea contributiondevelopment efficiency improvementworking in ambiguous environments