Remote Full-Stack Engineer for AI Music App

Jobgether SRL

Portugal

Remote

EUR 85,000 - 110,000

Full time

7 days ago
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Benefits offered by this job

Fully remote-first
Office options in London
Annual learning stipend
Annual travel stipend
Annual company offsite
Monthly coworking stipend
Open, inclusive culture

Job summary

ElevenMusic is seeking a passionate Full-Stack Engineer to own features end-to-end for a next-generation AI-powered music app. You will work across frontend and backend to enable listening, creation, remixing, and streaming of music in a remote-first environment.

You’ll collaborate with research engineers to integrate AI capabilities, rapidly prototype ideas, and uphold high engineering standards. This role welcomes engineers who thrive in autonomous teams and fast cycles.

Qualifications

  • Proven experience delivering consumer-grade features end-to-end.
  • Strong full-stack capabilities across frontend and backend.
  • Excellent code review, security awareness, and architectural judgment.
  • Autonomous, proactive work style with ownership of production outcomes.
  • Experience applying AI-assisted development workflows is a plus.

Responsibilities

  • Own features end-to-end from discovery to deployment.
  • Build full-stack functionality for a music app (listen, create, remix, stream).
  • Develop scalable frontend and backend systems ensuring seamless UX.
  • Identify opportunities, prioritize high-impact initiatives, implement features.

Skills

Full-stack development
Frontend
Backend
Code review
AI workflows
Remote work

Tools

Git
GitHub
CI/CD

Job description

ElevenMusic is seeking a passionate Full-Stack Engineer to own features end-to-end for a next-generation AI-powered music app. You will work across frontend and backend to enable listening, creation, remixing, and streaming of music in a remote-first environment.

You’ll collaborate with research engineers to integrate AI capabilities, rapidly prototype ideas, and uphold high engineering standards. This role welcomes engineers who thrive in autonomous teams and fast cycles.

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