AI-Driven Software Engineer Intern — Music Metadata Tools

Musixmatch S.p.a

Bologna

In loco

EUR 7600 - 10.000

Tempo pieno

9 giorni fa
Generatore di candidature

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Vantaggi offerti da questo lavoro

Monthly stipend €800

Descrizione del lavoro

Musixmatch seeks a Software Engineer Intern to join Services Engineering, building MCP-based tooling on a large-scale catalog. You’ll work with production data and cloud infrastructure to design AI-assisted data investigation, metadata auditing, anomaly detection, and reporting.

The position is a 6‑month extracurricular internship with a monthly reimbursement of €800, offering hands-on experience in backend services, Docker/Kubernetes, and cloud workflows.

Competenze

  • Knowledge of Node.js/TypeScript, Python, or PHP for backend development.
  • Basic SQL/NoSQL querying and data modeling.
  • Interest in AI tooling, LLMs and Model Context Protocol.
  • Familiarity with AWS, Docker, Kubernetes, and Terraform is a plus.
  • Git and collaborative development workflows.
  • Willingness to learn and work in English.

Mansioni

  • Map the Recording music catalog architecture across MySQL/Aurora and DynamoDB.
  • Build MCP servers, exposing catalog data and prompts to AI agents.
  • Implement access controls and safeguards to protect production systems.
  • Monitor inference costs and optimize latency and accuracy.
  • Containerize services with Docker and deploy to Kubernetes via Helm.
  • Collaborate with Operations for staging, production, and beta rollout.

Conoscenze

Node.js/TypeScript
Python
PHP
English

Strumenti

MySQL/Aurora
DynamoDB
Docker
Kubernetes
Terraform
AWS

Descrizione del lavoro

Musixmatch seeks a Software Engineer Intern to join Services Engineering, building MCP-based tooling on a large-scale catalog. You’ll work with production data and cloud infrastructure to design AI-assisted data investigation, metadata auditing, anomaly detection, and reporting.

The position is a 6‑month extracurricular internship with a monthly reimbursement of €800, offering hands-on experience in backend services, Docker/Kubernetes, and cloud workflows.

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