ИталияSoftware Engineer Intern
4 нед. назад
ИталияTraineeOnsite
aicloud infrastructuresoftware engineering
Internship role for software engineer to build AI-powered tools on music metadata with modern cloud infrastructure.
О компании
- is the leading music metadata company, featuring the world’s largest lyrics catalog and a community of over 80M contributors. 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.
Другое
- 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, p