Full-Stack Software Engineer

About the Role

At Mirelo, you’ll join a small, fast-moving team building real products on top of our generative audio models. This role is hands-on and high-ownership: you’ll ship end-to-end features across our stack, work directly with research and product, and help shape how our technology becomes something creators and partners actually use. As we scale our go-to-market efforts, the engineering work you do will sit at the heart of both user-facing products and deeper integrations with platforms, tools, and enterprise partners.

Key Responsibilities

• Building and maintaining our products on top of our cutting-edge generative AI models for music and sound.

• High degrees of ownership: you will be responsible for shipping end-to-end features across the front and back ends of our stack, as well as helping set the direction of the features and products you're working on.

• Collaborate closely with our research teams and growth/sales teams and stay close to our users: spot practical opportunities, identify pain points, and turn them into actionable engineering tasks.

• Work comfortably with our current tech stack: TypeScript, React, Tailwind, shadcn, and Convex as the backend.

• Work with essential cloud services—primarily AWS Lambda and S3—for integrations, automation, and deployment workflows

• Use modern AI-assisted development tools (Cursor, Claude Code, etc.) to move fast while keeping craftsmanship high.

• Communicate clearly with teammates, jump into discussions, and help drive the technical direction together.

Ideal Candidate Profile

• 5+ years of professional web development experience, preferably in fast-moving product or startup environments.

• Strong expertise in TypeScript (both frontend and backend), React, Tailwind, component libraries.

• Solid understanding of backend fundamentals: data modeling, migrations, performance, API design, security and data workflow.

• Self-directed in a healthy way: you take ownership, move forward proactively, and keep the team in the loop.

Nice to Have

• Basic understanding of machine learning and experience using ML/LLM tooling in products.

• Hands-on experience with Convex, or similar serverless backend platforms, and the ability to quickly become productive with it. Proficiency in Python.

• Exposure to AWS beyond Lambda/S3 (CloudFront, IAM basics, monitoring).

• Experience contributing to or maintaining larger production codebases.

Why Join?

• Join at a pivotal moment. We've secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success.