Full-Stack Engineer (Backend-Leaning) - CoreMusic

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.
Requirements:
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.
Benefits:
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.