Software Engineer Intern

ABOUT MUSIXMATCH:

Musixmatch is the leading music metadata company, featuring the world’s largest lyrics catalog and a community of over 80M contributors. Musixmatch is the trusted global partner of companies like Spotify, Apple, Amazon Music, Meta, Google, MTV, Shazam, Vevo, Tidal, Snapchat and has a partnership with more than 100,000 music publishers including Sony/ Music Publishing, Universal Music Publishing, Warner/Chappell, Kobalt, BMG Rights, and the Harry Fox Agency.

We are a bunch of creatives who care about our work and what we do. We believe that participation and collaboration are key to getting things done well. We are looking for tech-savvy people who are eager to learn in a fast-paced environment, who have an international outlook on life, and who love taking on new challenges.

Position:

We are looking for a Software Engineer Intern to join our Services Engineering team. This role is ideal for someone who wants hands-on experience building AI-powered tooling on top of a large-scale music catalog, working with real production data and modern cloud infrastructure. You'll help design and build an MCP-based (Model Context Protocol) ecosystem that gives our Operations team an AI-assisted toolchain for data investigation, metadata auditing, anomaly detection, and automated reporting, learning how production environments and agentic systems actually work. This is an extracurricular internship (tirocinio extracurriculare) lasting 6 months, with a monthly reimbursement of €800.

Responsibilities:

• Explore and map the Recording music catalog architecture, spanning relational data (MySQL/Aurora) and non-relational document stores (DynamoDB)
• Build specialized MCP servers, skills, and tools exposing catalog data, resources, and prompt templates to AI agents
• Implement operations guardrails such as access controls, read-only permissions, rate limiting, and query execution safeguards, so agents can query live stores without compromising production stability
• Instrument and monitor inference, context window, embedding, and query costs, treating cost as an engineering metric alongside accuracy and latency
• Containerize services with Docker and deploy to Kubernetes via Helm using our standard Infrastructure-as-Code (Terraform) workflow
• Run staged testing with the Operations team, promote to production, and support a company-wide beta release
• Debug, test, and improve backend services across the stack

Requirements:

• Good knowledge of at least one of Node.js/TypeScript, Python, or PHP (backend development, async processing)
• Basic understanding of database querying and modeling (SQL and/or NoSQL)
• Interest in AI tooling, LLMs, and the Model Context Protocol (Tools, Resources, Prompts)
• Interest in cloud technologies and DevOps (AWS, Docker, Kubernetes, Terraform are a plus)
• Understanding of Git and collaborative development workflows
• Problem-solving mindset and willingness to learn
• Ability to work in English