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Open nowPosted 5 hours ago

Full-Stack Engineer (Backend-Leaning) - CoreMusic

Jobgether3,635 open roles

Where
Brazil
Work mode
Remote
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Your applicationOpen nowFull-Stack Engineer (Backend-Leaning) - CoreMusicJobgether · Brazil

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The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: posted 5 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Full-Stack Engineer (Backend-Leaning) – CoreMusic based in Brazil.

Join a high-impact engineering team building innovative AI-powered music and audio experiences for creators, developers, and businesses worldwide. As a backend-leaning Full-Stack Engineer, you will help transform cutting-edge music research into reliable production systems, APIs, and creative tools. You will collaborate closely with research engineers to integrate evolving AI models while building scalable infrastructure and intuitive user-facing features. Working in a fast-paced, remote-first environment, you will take ownership of projects from early discovery and technical design through deployment and launch. You will also partner with cross-functional teams to identify customer needs, evaluate technical trade-offs, and deliver impactful product improvements. This role offers the opportunity to combine engineering excellence, product thinking, and a genuine passion for music and AI to shape the future of creative technology.

Accountabilities:

  • Backend Development and API Engineering: Design, build, deploy, and maintain production-ready APIs and backend systems that power AI-driven music generation, sound effects, and audio processing capabilities.
  • AI Model Integration: Collaborate with research scientists and research engineers to bring new model capabilities into production, ensuring systems are reliable, scalable, and adaptable to future model improvements.
  • Full-Stack Product Development: Contribute across the technology stack, developing backend infrastructure and user-facing features that support seamless creative workflows and improve the overall product experience.
  • Technical Ownership and Delivery: Take projects from initial concept to production, translating ambiguous objectives into clear technical plans, evaluating trade-offs, and delivering solutions with minimal supervision.
  • Product Strategy and Prioritization: Work closely with go-to-market and other business teams to identify customer needs, prioritize features, and determine which product improvements will deliver the greatest impact, including tailored solutions for enterprise customers.
  • Cross-Functional Collaboration: Partner with research, legal, safety, growth, and design teams to address technical, operational, and regulatory considerations throughout the product development lifecycle.
  • Customer Engagement: Participate in technical customer conversations when needed, helping clarify requirements, resolve complex questions, and identify opportunities to improve products and services.
  • Scalable System Architecture: Design flexible infrastructure that accommodates evolving AI models and emerging capabilities while maintaining performance, reliability, and long-term maintainability.
  • Continuous Innovation: Experiment with new ideas, explore emerging AI and music technologies, and turn promising prototypes into practical, production-ready solutions.
  • Full-Stack Engineering Experience: Strong experience as a Full-Stack Engineer with a backend focus, including a proven track record of building, deploying, and maintaining production APIs and backend systems.
  • Product-Oriented Thinking: Ability to break down ambiguous business or product objectives into actionable engineering plans, assess trade-offs, and deliver effective solutions without unnecessary delays.
  • End-to-End Ownership: A proactive, independent working style, with the ability to identify opportunities, define priorities, and drive projects from conception to launch without relying on detailed task assignments.
  • Cross-Functional Communication: Comfortable collaborating with multidisciplinary teams across research, legal, safety, growth, design, and commercial functions, as well as engaging directly with enterprise customers when necessary.
  • Technical Problem-Solving: Strong analytical and architectural skills, with the ability to design robust, adaptable systems that support rapidly evolving AI capabilities and changing product requirements.
  • Interest in Music and AI: Genuine enthusiasm for music, audio technology, and artificial intelligence, with a hands-on mindset and an eagerness to experiment, prototype, and bring innovative ideas to life.
  • Adaptability and Execution: Comfortable working in a high-velocity, remote-first environment characterized by rapid experimentation, lean teams, autonomy, and minimal bureaucracy.
  • Additional Assets: Experience with music or audio technology, whether professionally or as a hobby, and familiarity with deploying machine learning models into production are considered advantages.
  • Location and Time Zone: Based in Brazil or another eligible location, with the ability to collaborate effectively during Central European working hours. The role is remote-first, with optional access to offices in selected international hubs.
  • Remote-First Flexibility: Work remotely from Brazil or another eligible location, with the flexibility to work from designated international offices if preferred.
  • Professional Development: Access an annual discretionary stipend to support learning, skills development, and professional growth.
  • Collaborative Team Experiences: Receive an annual discretionary stipend to meet and connect with colleagues in person.
  • Company-Wide Offsites: Participate in annual company gatherings held in different international destinations, providing opportunities to collaborate and build relationships across the global team.
  • Co-Working Support: Access a monthly co-working stipend if you are not based near one of the main office hubs.
  • High-Impact Work: Help translate advanced AI research into real-world products used by creators, developers, and businesses around the world.
  • Career Growth Opportunities: Take on meaningful responsibilities beyond traditional role boundaries, with opportunities to influence product direction, technical strategy, and broader business outcomes.
  • Innovative Engineering Culture: Work alongside talented engineers, researchers, and product specialists in an environment that values autonomy, rapid experimentation, technical excellence, and AI-first workflows.
  • Global Collaboration: Join a distributed international team that prioritizes talent, ownership, and impact over job titles or geographic location.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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